Bioproduction Engineering: Automation and Precision Agronomics for Sustainable Agricultural Systems. Second Edition

Tofael Ahamed, PhD
Graduate School of Life and Environmental Sciences, University of Tsukuba, Ibaraki, Japan

Ryozo Noguchi
Faculty of Life and Environmental Sciences, University of Tsukuba, Japan

Tomohiro Takigawa, PhD
Graduate School of Life and Environmental Sciences, University of Tsukuba, Ibaraki, Japan

Lei Tian, PhD
Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, IL, USA

Series: Biotechnology in Agriculture, Industry and Medicine
BISAC: PSY036000

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$210.00

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Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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Crop production varies spatially and temporally within the field boundaries depending on soil and environmental conditions. The major concern of variability for agronomic inputs addresses how best to intervene in the right place, at the right time and in the right quantity to improve the potential yield of crops and feedstock. This book addresses the important question of how large a role bioproduction and renewable energy can play in achieving sustainable agricultural practices in the present system of agricultural production. Agronomy is local, which brings the challenges to the remote optimization of agricultural machinery operations for seeding, fertilizing, crop protecting, and harvesting in the field level to adopt precise agriculture technologies. Cloud computing and big data analytics bring the potential about in machine optimization and agronomy to enable the site-specific management. Understanding bioproduction engineering and development can help improve the efficiency of a sustainable agriculture system.

With the aim of understanding this process, this book focuses on bioproduction and sustainability issues, covering sensors, agricultural decision-making systems and the relationship between bioproduction and sustainable practices of agriculture. The chapters are organized as follows: information oriented technology that can be implemented to address the variability of bioproduction systems, sensors and control systems, precision agricultural technology, decision support systems in agriculture, renewable energy resources and analytical hierarchy processes for agricultural management. The crop growth monitoring parameters like LAI and NDVI points were clarified in the pre-processing stage of images. The decisions and logistics that influence the market prices of agricultural products is emphasized within the revised edition of this book. (Imprint: Nova)

Foreword

Preface

Chapter 1. Bioproduction Engineering

Chapter 2. Sensors for Intelligent Systems in Agriculture

Chapter 3. Control and Navigation for Intelligent Systems in Agriculture

Chapter 4. Sensors for Monitoring Agricultural Productivity

Chapter 5. Spectral Imagery and Remote Sensing in Agriculture

Chapter 6. GIS and Decision Support Systems in Agriculture

Chapter 7. System Design for Renewable Energy Resources in Agriculture

Chapter 8. System Hierarchy for Determining the Potential of Renewable Energy in Agriculture

References

Index

Ag. Leader Technology (2000). Ag leader Technology, 2202 South River Side Drive, Ames, Iowa 50010, USA.
Ahamed, T., Tian, L., Zhang, Y., Xiong, Y., Zhao, B. & Jiang, Y. (2010). Ting KC. Site-Specific Management for Biomass Feedstock Production: Development of Remote Sensing Data Acquisition Systems, International Conference on Precision Agriculture, July 19-21, Denver, Colorado, USA.
Ahamed, T., Takigawa, T., Koike, M., Honma, T., Hasegawa, H. & Zhang. Q. (2006a). Navigation using a laser range finder for autonomous tractor (part 1)- positioning of implement-. J. of the Japanese Society of Agricultural Machinery, 68(1), 68-77.
Ahamed, T., Takigawa, T., Koike, M., Honma, T., Hasegawa, H. & Zhang, Q. (2006b). Navigation using a laser range finder for autonomous tractor (part 2) - Navigation for approach composed of multiple paths-. J. of the Japanese Society of Agricultural Machinery, 68 (1), 78-86.
Ahamed, T., Tian, L., Jian, Y., Zhao, B. Liu, H. & Ting, K. C. (2012). Tower Remote Sensing System for Monitoring Energy Crops; Image Acquisition and Geometric Corrections, Biosystems Engineering, Elsevier Science, 112 (2), 93-107.
Ahamed, T., Tian, L., Takigawa, T. & Zhang, Y. (2009). Development of auto-hitching navigation system for farm implements using laser range finder, Transactions of the American Society of Agricultural and Biological Engineering (ASABE), Vol. 52(5), 1793-1803.
Ahamed, T., Tian, L., Zhang, Y. & Ting, K. C. (2011). A Review of Remote Sensing Methods for Biomass Feedstock Production, Biomass & Bioenergy, Elsevier Science, 35 (7), 2455-2469.
Alam, M. S., Bala, B. K. & Huq, M. Z. (1997). Simulation of integrated rural energy system for farming in Bangladesh, Energy, 22(6), 591-599.
Astrand, B. & Baerveldt, A. J. (2005). A vision based row-following system for agricultural machinery. Mechatronics, 15(2), 251-269.
Astrand, B. (2000). Vision based perception or mechatronic weed control. Doctor of Philosophy Thesis, Chalmers and Halmstad Universities, Sweden.
Astrand, B. & Baerveldt, A. J. (1999). Robust recognition of plant rows, ICRAM’99. International Conference of Recent advance in Mechatronics.
Austin J. M., Mackey, B. G. & Van, N. K. P. (2003). Estimating forest biomass using satellite radar: an exploratory study in a temperate Australian Eucalyptus forest, Forest Ecology and Management, 176 (1), 575–583.
Baath, H., Gallerspang, A., Hallsby, G., Lundstrom, A., Lofgren, P. & Nelsson, M. (2002). Remote sensing field survey and long term forecasting: an efficient combination of forest fuels, Biomass & Bioenergy, 22145-57.
Baccini, A., Friedl, M. A., Woodcock, C. E. & Warbington, R. (2004). Forest biomass estimation over regional scales using multisource data. Geophysical Research Lett., 31, L10501, doi: 10.1029.
BAE, (2002). Precision Agriculture: Development and Assessment of Integrated Practices for Kentucky Producers, Biological and Agricultural Engineering, University of Kentucky http://www.bae.uky.edu/precag/PrecisionAg/Development_and_Assessment/contents.htm.
Baird, B. F. (1989). Managerial Decisions under Uncertainty, An Introduction to the Analysis of Decision Making, Wiley, New York.
Bajwa, S. G. & Tian, L. (2006). Soil fertility characterization in agricultural fields using hyperspectral remote sensing, Transactions of the ASAE, 48(6), 2399-2406.
Bajwa, S. G. & Tian, L. F. (2006). Soil fertility characterization in agricultural fields using hyperspectral remote sensing, Trans. ASAE, 48(6), 2399-2406.
Bajwa, S. G. & Tian, L. F. (2001). Aerial CIR remote sensing for weed density mapping in a soybean field. Transactions of the ASAE, 44(6), 1965-1974.
Baret, F., Guyot, G. & Major, D. (1989). TSAVI: a vegetation index which minimizes soil brightness effects on LAI and fPAR estimation, in 12th Canadian Symp. On Remote Sensing and IGARSS, Vanconver Canada, 10-14.
Barnes, E. M. & Baker, M. G. (2000). Multispectral data for mapping soil texture: possibilities and limitations. Applied Engineering in Agriculture, 16(6), 731-746.
Barnes, E. M., Sudduth, K. A., Hummel, J. W., Lesch, S. M., Corwin, D. L., Yang, C. & Bausch, W. C. (2003). Remote-and ground-based sensor techniques to map soil properties. Photogrammetric Engineering & Remote Sensing, 69(6), 619-630.
Barshan, B. & Durrant-Whyte, H. F. (1995). Inertial navigation system for mobile robots. IEEE Transactions on Robotics and Automation, 11(3), 328-342.
Bausch, W. C. & Duke, H. R. (1996). Remote sensing of plant nitrogen status in corn. Transactions of the ASAE, 39(5), 1869-1875.
Beale, C. V. & Long, S. P. (1985). Photosynthesis- is limiting to biomass production?, Biomass, 8, 119-168.
Bell, T. (1999). Automatic tractor guidance using carrier-phase differential G.P.S. Computers and electronics in agriculture: Special Issue Navigating Agricultural Field Machinery.
Bell, T. (2000). Automatic tractor guidance using carrier-phase differential gps, Computers and Electronics in Agriculture, vol. 25, no. 1-2, 53–66.
Benson, E., Stombaugh, T., Noguchi, N., Will, J. & Reid, J. F. (1998). An evaluation of a geomagnetic direction sensor for vehicle guidance in precision agriculture applications. ASAE, Paper 983203.
Benthall, S. (2009). An open source web GIS solution-the OpenGeo stack. GEO informatics, 12, 40-43.
Berni, J. A., Zarco-Tejada, P. J., Suárez, L. & Fereres, E. (2009). Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. Geoscience and Remote Sensing, IEEE Transactions on, 47(3), 722-738.
Birth, G. S. & McVey¸ G. (1968). Measuring the color of growing turf with a reflectance spectrophotometer. Agron. J., 60, 640–643.
Blackmer, T. M. & Schepers, J. S. (1995). Use of a chlorophyll meter to monitor nitrogen status and schedule fertigation for corn, J. Production Agric., 8(1), 56-60.
Bouman, B. A. M. & Van Laar, H. H. (2006). Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions. Agricultural Systems, 87, 249-273.
Boyd, D. S. (1999). The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 mu m). International Journal of Remote Sensing, 20(5), 1017-1023.
Brandes, O. M. & Brooks, D. B. (2005). The soft path for water in a nutshell. Friends of the Earth Canada.
Brown, D. C. (1971). Close-range camera calibration. Photogrammetric engineering, 37(8), 855–866.
Buschmann, C. & Nagel, E. (1993). In vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation. International Journal of Remote Sensing, 14(4), 711-722.
Caracciolo, L., De Luca, A. & Iannitti, S. (1999). Trajectory tracking control of a four-wheel differentially driven mobile robot. In Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on, (Vol. 4, pp. 2632-2638). IEEE.
Choi, J., Yin, X., Yang, L. & Noguchi, N. (2014). Development of a laser scanner-based navigation system for a combine harvester. Engineering in Agriculture, Environment and Food, 7(1), 7-13.
CIGR, (1999). CIGR Handbook of Agricultural Engineering, 5, Energy & Biomass Engineering, ASABE (USA), 13-21.
Cristian, F., Gheorghe, S., Vasile, C. & Elena, S. (2007). A Validation of MODIS Snow cover Products in Romania: Challenges and Future Directions. Trans. GIS, 11(6), 927–941.
Davidson, M. & Bahl, V. (2001). The scalar & epsiv;-controller: a spatial path tracking approach for ODV, Ackerman, and differentially-steered autonomous wheeled mobile robots. In Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on, (Vol. 1, pp. 175-180). IEEE.
Donald, C. M. & Hamblin, J. (1976). The biological yeidl and harvest index of cereals as agronomic and plant breeding criteria. Advance Agronomy., 28, 361-405.
Drake, J. B., Dubayah, R. O., Clark, D. B., Knox, R. G., Blair, J. B., Hofton, M. A. & Prince, S. (2002). Estimation of tropical forest structural characteristics using large-footprint lidar. Remote Sensing of Environment, 79(2), 305-319.
Duane, C. B. (1971). Close-range camera calibration. Photogram. Eng. Remote Sens, 37, 855-866.
Durrant-Whyte, H. F. (1995, April). A modular decentralized architecture for multi-sensor data fusion. In Intelligent Measuring Systems for Control Applications, IEE Colloquium on, (pp. 5-1). IET.
FAO, (2011). Statistical Yearbook. Food and Agricultural Organization of the United Nations.
FAO, J., UNICEF, World Health Organization. & UNICEF. (1976). Methodology of nutritional surveillance: report of a Joint FA.
Farrel, J. A. & Barth, M. (1999). The Global Positioning System and Inertial Navigation, Chapter 2. McGraw-Hill, New York.
Fehr, B. W. & Gerrish, J. B. (1995).Vision-guided row crop follower. Applied Engineering in Agriculture, 11 (4), 613-620.
Galvao, L. S., Formaggio, A. R. & Tisot, D. A. (2005). Discrimination of surface varieties in Southestaern Brazil with EO-1 Hyperion Data, Remote Sensing of Environment, 94, 523-534.
Gauch, H. G., Hwang, J. T. G. & Fick, G. W. (2003). Model evaluation by comparison of model-based.
Gerrish, J. B., Fehr, B. W., Van Ee, G. R. & Welch, D. P. (1997). Self-steering tractor guided by computer-vision. Applied Engineering in Agriculture, 13 (5), 559–563.
Gitelson, A. A. (2004). Wide Dynamic Range Vegetation Index for remote quantification of crop biophysical characteristics, J. Plant Physiol., 161(2), 165–173.
Gitelson, A. A., Kaufman, Y. J., Stark, R. & Rundquist, D. (2002). Novel algorithms for remote estimation of vegetation fraction, Remote Sens. Environ., 80 (1), 76–87.
Gitelson, A. A. & Merzlyak, M. N. (1994). Quantitative estimation of chlorophyll-using reflectance spectra: Experiments with autumn chestnut and maple leaves, J. Photochem. Photobiol, 22 (3), 247–252.
Gitelson, A. & Merzlyak, M. N. (1996). Signature analysis of leaf reflectance spectra: Algorithm development for remote sensing of chlorophyll. J. Plant Physiol., 148, 494–500.
Gitelson, A. A., Viña, A., Arkebauer, T. J., Rundquist, D. C., Keydan, G. & Leavitt, B. (2003). Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophys. Res. Lett., 2003, 30(5), 1248.
Gitelson, A. A., Viña, A., Rundquist, D. C., Ciganda, V. & Arkebauer, T. J. (2005). Remote estimation of canopy chlorophyll content in crops. Geophys. Res. Lett., 32, 108403 doi:10.1029/2005Gl022688.
Goel, P., Roumeliotis, S. I. & Sukhatme, G. S. (1999). Robust localization using relative and absolute position estimates. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Grenzdoerffer, G., Engel, A. & Teichert, B. (2008). The photogrammetric potential of low-cost UAVS in forestry and agriculture, International Archives of the Photogrammetry, Remote Sensing, and Spatial Information Sciences, XXXVII. Part B1, ISPRS Congress, Beijing, China, 1207-1213.
GSI (Geographical Survey Institute), (2010). Download service for base cartographic information, http://fgd.gsi.go.jp/download/ browsed on Jan. 11, 2011 (Japanese).
Guo, L. S. & Zhang, Q. (2005). Wireless data fusion system for agricultural vehicle positioning. Biosystems engineering, 91(3), 261-269.
Hague, T., Marchant, J. A. & Tillett, N. D. (2000). Ground based sensing systems for autonomous agricultural vehicles. Computers and Electronics in Agriculture, 25(1), 11-28.
Hamby, D. M. (1994). A review of techniques for parameter sensitivity analysis of environmental models, Environmental Monitoring and Assessment, 32 (2), 135-154.
Hamby, D.M. (1995). A comparison of sensitivity analysis techniques, Health Physics, 68 (2), 195-204.
Hardin, P. J. & Jackson, M. W. (2005). An unmanned aerial vehicle for rangeland photography. Rangeland Ecology & Management, 58(4), 439-442.
Hardisky, M. A., Klemas, V. & Smart, R. M. (1983). The influence of soil-salinity, growth form, and leaf moisture on the spectral radiance of Spartina alterniflora canopies. Photogrammetric Engineering and Remote Sensing, 49, 77–83.
Hata, S., Takai, M., Kobayasi, T. & Sakai, K. (1993). Crop-row detection by color line sensor. International Proceedings of International Conference for Agricultural Machinery and Process Engineering, Seoul, Korea, Korean Society for Agricultural Machinery, 19–22.
Hatfield, J. L., Gitelson, A. A., Schepers, J. S. & Walthall, C. L. (2008). Application of spectral remote sensing for agronomic decisions. Agronomy Journal, 100(Supplement_3), S-117.
Heaton, E. A., Dohleman, F. G. & Long, S. P. (2008). Meeting US biofuel goals with less land: the potential of Miscanthus. Global Change Biology, 14(9), 2000-2014.
Hoffman, F. O. & Miller, C. W. (1983, January). Uncertainties in environmental radiological assessment models and their implications. In Proceedings of the Nineteenth Annual Meeting of the National Council on Radiation Protection and Measurements, (pp. 6-7).
Holmqvist, R. (1993). A laser-optic navigation system for driverless vehicle, Arnex Navigation AB, R. Holmqvist, ARNBL, 344, 15.
Horio, M. (2007). Renewable energy and biomass, Chemistry Today, 2 Sept, 6-30.
Huan, Z. L., Tomohiro, T. & Tofael, A. (2015). Leader-Follower Tracking System for Agricultural Vehicles: Fusion of Laser and Odometry Positioning Using Extended Kalman Filter. IAES International Journal of Robotics and Automation (IJRA), 4(1), 1-18.
Huang, C., Wylie, B., Yang, L., Homer, C. & Zylstra, G. (2002). Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance. International Journal of Remote Sensing, 23, 1741 – 1748.
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X. & Ferreira, L. G. (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sens. Environ. 2002, 83(1), 195–213.
Huete, A. R., Hua, G., Qi, J., Chehbouni, A. & Van Leeuwem, W. J. (1992). Normalization of multi directional red and near-infrared reflectances with the SAVI, Remote sensing of the Environment.
Huete, A. R. (1988). A soil-adjusted vegetation index (SAVI). Remote sensing of environment, 25(3), 295-309.
Hunt, D. (1979). Farm Power and Machinery Management, The Iowa State University Press, 6th Edition, Iowa, USA.
Hunt, E. R., Rock, B. D. N. & Nobel, P. S. (1987). Measurement of Leaf Relative Water Content by Infrared Reflectance, Remote Sensing of Environment, 22(3), 420-435.
Hunt, Jr. E. R., Cavigelli, M., Daughtry, C. S., Mcmurtrey III, J. E. & Walthall, C. L. (2005). Evaluation of digital photography from model aircraft for remote sensing of crop biomass and nitrogen status. Precision Agriculture, 6(4), 359-378.
Hyde, P., Dubayah, R., Peterson, B., Blair, J. B., Hofton, M., Hunsaker, C., Knox, R., Walker, W. (2005). Mapping forest structure for wildlife habitat analysis using waveform lidar: validation of montane ecosystems, Remote Sens. Environ., 2005, 96 (3), 427–437.
Iida, M., Umeda, M. & Suguri, M. (1998). Automated follow-up vehicle system for agriculture, ASAE, Paper 983112, 1–9.
Inaba, A. (2005). Practical use for LCA, Japan Environmental Management Association for Industry,Tokyo, 314pp.
Inoue, K. (1998). Present situation and prospect for energy utilization in agriculture,Research Journal of technology in agriculture, forestry and fisheries, Japan Association for Techno-innovation in agriculture, forestry and fisheries, 21(10), 13-21.
Inoue, K., Otsuka, K., Sugimoto, M. & Murakami, N. (1997). Estimation of place of tractor and adaptive control method of autonomous tractor using INS and GPS. In: Juste, F., Andrew, G., Valiente, J. M., Benlloch, J. V., (Eds.), Proc. of BIO-ROBOTICS 97, Gandia, Valencia, EurAgEng and IFAC, 27–32.
Ito, Y. & Nakata, T. (2007). Design of Woody Biomass Energy System Considering Economics of Scale and Demand-and-Supply Equilibrium, Journal of the Japan Institute of Energy, 86, 718-729. (in Japanese).
JEMAI, (1999). Introduction of practical use for LCA, Japan Environmental Management Association for Industry, 194pp.
Jin, S. & Sader, S. A. (2005). Comparison of Time Series Tasseled Cap Wetness and the Normalized Difference Moisture Index in Detecting Forest Disturbances, Remote Sensing of Environment, 94, pp 364–372.
John, Deere. (1997). The Precision Farming Guide for Agriculturist, pp 134, Deere & Company, Moline, IL, USA, 1997.
Kanayama, Y., Kimura, Y. & Miyazaki, F. (1990). A stable tracking control method for an autonomous mobile robot, Proc. of the IEEE International Conference on Robotics and Automation, vol. 1, Cincinnati, OH, USA, 384–389.
Karnieli, A., Kaufman, Y. J., Remer, L. & Wald, A. (2001). AFRI—Aerosol free vegetation index. Remote Sensing of Environment, 77(1), 10-21.
Keicher, R. & Seufert, H. (2000). Automatic guidance for agricultural vehicles in Europe, Computer and Electronics in Agriculture, 25, 169-194.
Kiwon, Lee. (2010).Use of open source remote sensing software for interoperable geo-web implementation. International archives of the phogrammetry, remote sensing and spatial information, vol. XXXVIII, Part 8. Kyoto, Japan.
Kobayashi, H. (2006). Small hydropower, Ohmsha, Tokyo, pp 226. (in Japanese).
Kobayashi, K. & Salam, M. U. (2000). Comparing simulated and measured values using mean squared deviation and its components. Agronomy Journal, 92, 345–352.
Koh, K. C. & Cho, H. S. (1995). Wheel servo control based on feedforward compensation for an autonomous mobile robot. Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems’95, in: Human Robot Interaction and Cooperative Robots, vol. 3, Pittsburgh, PA, USA, 454–459.
Konaka, T. (1997). Bio-production systems engineering, shin-Norinsha, Tokyo, Japan 225pp (Japanese).
Kuhlmann, F., Moller, D. & Weinmann, B. (2002). Modellierung der Landnutzung: Regionshofe oder Raster-Landschaft? Berichte uber Landwirtschaft, 80 (3), 351-392.
Kurashiki, K., Fukao, T., Ishiyama, K., Kamiya, T. & Murakami, N. (2010). Orchard traveling UGV using particle filter based localization and inverse optimal control. In System Integration (SII), IEEE/SICE International Symposium on, (pp. 31-36). IEEE.
Kyocera (2010). Guide book of solar power generation, Kyocera, http://www.kyocera.co.jp/ solar/simuinfo/explain.html, browsed on Aug. 1, 2010.
Lee, J., Cho, H., Choi, B., Sung, J., Lee, S. & Shin, M. (2000). Life cycle assessment of tractors, Int. J. LCA, 5(4), 205-208.
Lim, K., Treitz, P., Baldwin, K., Morrison, I. & Green, J. (2003). Lidar remote sensing of biophysical properties of tolerant northern hardwood forests.Canadian Journal of Remote Sensing, 29(5), 658-678.
Liu, Y., Noguchi, N. & Yusa, T. (2014). Development of an Unmanned Surface Vehicle Platform for Autonomous Navigation in Paddy Field.
Lu, D. (2006). The potential and challenge of remote sensing-based biomass estimation, Int. J. Remote Sens., 2006, 27(7), 10, 1297–1328.
Luca, A. D., Orio lo, G. & Samson, C. (1998). Feedback control of a nonholonomic car-like robot, in J. P. Laumond (Ed), Robot Motion Planning and Control, pp. 170-250, Springer,
Luckman, A., Baker, J. R., Kuplich, T. M., Yanasse, C. C. F. & Frery, A. C. (1997). A study of the relationship between radar backscatter and regenerating forest biomass for space borne SAR instrument, Remote Sens. Environ., 1997, 60, 1–13.
Machado, S., Bynum, E., Archer, T., Lascano, R., Wilson, L., Bordovsky, J., Segarra, E., Bronson, K., Nesmith, D. & Xu, W. (2002). Spatial and temporal variability of corn growth and grain yield: implications for site-specific farming, Crop Sci., 42, 1564-1576.
Maclean, J. L., Dawe, D. C., Hardy, B. & Hettel, G. (Eds.), (2002). Rice Almanac, third ed. International Rice Research Institute, Los Ban˜ os, Philippines, p. 253.
Meadows, D. H., Meadows, D. L., Randers, J. & Behrens, W. W. (1972). The limits to growth. New York, 102.
Meteorological Agency, (2010). AMeDAS, Retrieval system for historical meteorological data, Meteorological Agency, Japan, http://www.data.jma.go.jp/obd/stats/etrn/index.php, browsed on Aug. 1, 2010.
Ministry of Agriculture, Forestry, and Fisheries (Japan), (2008). Rural agricultural household’s card, Association of Agriculture & Forestry Statistics, Japan, MAFF, CD-ROM.
Ministry of Construction River Bureau, (1997). Technical standard for control of soil erosion, Japan, http://isabou.net/soft/petit/common/waterway/flowcalc/ReferBasic FlowoutCoef. asp, browsed on Dec. 20, 2009.
Ministry of Economy Trade and Industry, (2010). Toward to international standardization of next generation energy system, Society of international standardization of next generation energy system, Japan METI, 40pp, http://www.meti.go.jp/press/20100128003/ 20100 128003-2.pdf, browsed on Jan. 5, 2011.
Ministry of Economy, Trade and Industry, (2008). Chapter 4, Trend of second energy, Energy white paper, METI, Japan, http:// www.enecho.meti.go.jp/ topics/ hakusho/ 2008 energyhtml/2-1-4.htm, browsed on Apr. 22, 2011.
Ministry of Economy, Trade and Industry, (2010). Energy in Japan 2010, Agency for Natural Resources and Energy, Japan METI, 5-8, http://www.enecho.meti.go.jp/topics/energy-in-japan/energy2010.pdf, browsed on Jan. 5, 2011.
Ministry of Environment, (2002). White paper of environment, Ministry of Environment, Japan.
Ministry of Land, Infrastructure, Transport and Tourism (2007a). Download service for digital national land information, Japan MLIT, http://nlftp.mlit.go.jp/ksj/, browsed on Jan. 11, 2011.
Ministry of Land, Infrastructure, Transport and Tourism (2007b). Download service for GIS data, National Land Survey Division, Japan MLIT, http://tochi.mlit.go.jp/tockok/inspect/ landclassification/download /index.html, browsed on Jan. 11, 2011.
Mizuho, (2010). Japanese smart grid, Mizuho Information & Research Institute http://www.mizuho-ir.co.jp/publication/navis/009/special.html, browsed on Jan. 5, 2011.
Mizushima, A., Ishii, K., Noguchi, N., Matsuo, Y. & Lu, R. (2011). Development of a low-cost attitude sensor for agricultural vehicles. Computers and electronics in agriculture, 76(2), 198-204.
Mochizuki, K. & Sakoda, A. (2005). Construction of biomass town simulator, Production Research, 56(2), 148-151 (Japanese).
Monteith, J. L. (1977). Climate and the efficiency of crop production in Britain, Philosophical Trans. the Royal Society of London, 1977, 281, 277-294.
Monteith, J. L. (1972). Solar radiation and productivity in tropical ecosystems. Journal of applied ecology, 747-766.
Moran, M. S., Inoue, Y. & Barnes, E. M. (1997). Opportunities and limitations for image-based remote sensing in precision crop management, Remote Sens. Environ., 1997, 61, 319-346.
Morgan, M. & Ess, D. (1997). The Precision-Farming Guide for Agriculturists. Deere and Company, Moline, Illinois.
Næsset, E., Bollandsås, O. M. & Gobakken, T. (2005). Comparing regression methods in estimation of biophysical properties of forest stands from two different inventories using laser scanner data. Remote Sensing of Environment, 94(4), 541-553.
Nagasaka, Y., Umeda, N., Kanetai, Y., Taniwaki, K. & Sasaki, Y. (2004). Autonomous guidance for rice transplanting using global positioning and gyroscopes. Computers and Electronics in Agriculture, 43(3), 223-234.
Nagasaka,Y., Taniwaki, K., Otani, R. & Shigeta, K. (1997). Automated operation in paddy fields with a fiber optic gyro sensor and GPS. Preprints of the International workshop on Robotics and Automated Machinery for Bio-Productions, EurAgEng, Gandia, 21–26.
Nakata, T., Kubo, K. & Lamont, A. (2005). Design for renewable energy systems with application to rural areas in Japan, Energy Policy, 33, 209-219.
NEDO, (1998). Guidebook for solar power generation, NEDO, Japan, 76-77, 92, 128-129.
NEDO, (2003). Guidebook for micro hydropower, NEDO, Japan, 138pp.
NEDO, (2006a). Standard data for weather and solar radiation data, NEDO, Japan, http://www.nedo. go.jp/library/ shiryou_application.html, browsed on Apr. 22, 2011.
NEDO, (2006b). Local wind map, NEDO, Japan http://app2.infoc.nedo.go.jp/ nedo/index.html, browsed on Sep. 26, 2010.
NEDO, (2006c). Explanation and estimation of biomass specific, NEDO, Japan, http://www.nedo.go.jp/library/biomass/kinds/index.html, browsed on Apr. 22, 2011.
NEDO, (2008a). Guide line for Regional new energy vision and energy conservation, NEDO, Japan, http://www.nedo.go.jp/library/pamphlets/ZZ_pamphlets_08_3dounyu_vision_ sakutei_index.html, browsed on Sep. 26, 2010.
NEDO, (2008b). Guide book for introduction of wind power, NEDO, Japan. http://www.nedo. go.jp/library/fuuryoku/guidebook.html, browsed on Apr. 22, 2011.
Nelson, R., Oderwald, R. & Gregoire, T. G. (1997). Separating the ground and airborne laser sampling phases to estimate tropical forest basal area, volume, and biomass; Remote Sens. Environ., 1997, 60, 311–326.
Nelson, R. F., Kimes, D. S., Salas, W. A. & Routhier, M. (2000). Secondary forest age and tropical forest biomass estimation using Thematic Mapper imagery. Bioscience, 2000, 50, 419–431.
Nelson, R., Parker, G. & Hom, M. (2003). A portable airborne laser system for forest inventory. Photogrammetric Engineering & Remote Sensing, 69(3), 267-273.
Nikko City Government, (2009). Regional new energy vision of Nikko City, Nikko City, Japan http://www.city.nikko.lg.jp/shoukou/gyousei/shisei/enebijon/index.html, browsed on Apr. 22, 2011.
Noguchi, R. & Koyama, M. (2009). Feasibility Study of Bioenergy Utilization for Alternative Energy in Automobiles, for Rural Self-sufficient Society, Agricultural Information Research, 18(3), 142-151.
Noguchi, R. & Takahiro, S. (2008). Consideration of Energy Consumption and Energy Efficiency in Mechanized Rice Production System by using Inventory Analysis, Agricultural Information Research, 17(1), 20-30.
Noguchi, R. & Koyama, M. (2009). Feasibility Study of Bioenergy Utilization for Alternative Energy in Automobiles, for Rural Self-sufficient Society, Agricultural Information Research, 18(3), P142-151 (2009).
Noguchi, R. & Takahata, K. (2008). Planning Model for Renewable Energy Adoption to Rural Area using AHP application, Agricultural Information Research, 17(1), 31-41.
Noguchi, N., Reid, J. F., Will, J., Benson, E. & Stombaugh, T. (1998). Vehicle automation system based on multi-sensor integration, ASAE paper 983111.
Noguchi, R. & Koyama, M. (2010). Method for Evaluating Biofuel Production System from the Viewpoint of Final Benefit Integration-Trial Calculations for Automobile Mileage and Household Heating in Utsunomiya City, Agricultural Information Research, 19, 95-105.
Noguchi, R. & Saito, T. (2008). Consideration of energy consumption and energy efficiency in mechanized rice production system by using inventory analysis. Agricultural Information Research, 17(1), 20-30.
Noguchi, R. & Misumi, M. (2007). Proposal of Rural Energy Simulator Considering Competitive Production between Food and Renewable Energy, Agricultural Information Research, 16(3), 158-170 (Japanese).
Nonami, K., Komatsu, M., Higuchi, H., Nakano, S. & Adachi, K. (1993). Studies on automatic traveling control of riding-type rice transplanter (Part 1). Journal of The Japanese Society of Agricultural Machinery, 55 (4), 107–114 (in Japanese).
NRC, (1997).National Research Council, Precision Agriculture in the 21 Century, Geospatial and Information Technologies in Crop Management, National Academy Press Washington D.C.
O’ Connor, M., Elkaim, G. & Parkinson, B. (1995). Kinematic GPS for closed-loop control of farm and construction vehicles. ION GPS-95. Palm Springs, CA, September.12 –15.
OConnor, M., Bell, T., Elkaim, G. & Parkinson, B. (1996). Automatic steering of farm vehicles using GPS. Paper presented at the 3rd International Conference on Precision Agriculture. Minneapolis, MN, June 23–26.
Oliver MB. & David B. B. (2005). The Soft Path for Water in a Nutshell. A joint publication of Friends of the Earth Canada and the POLIS Project on Ecological Governance. University of Victoria, Victoria BC.
Ollis, M. & Stentz, A. (1996). First results in vision based crop line tracking. In: Proc. IEEE Int. Conf. on Robotics and Automation, vol. 1. Minneapolis, Minnesota, USA, 951–956.
Paine, D. P. & Kiser, J. D. (2002). Aerial Photography and Image Interpretation. 2nd Edition. New York, N.Y.: John Wiley and Sons.
Patrick, S., Rommelfanger, E. & Schroers, J. O. (2005). GIS-based modeling of land use systems: EU Common Agricultural Policy reform and its impact on agricultural land use and plant species richness. 45th Congress of the European Regional Science Association, Amsterdam, 2005.
Paz, J. O., Batchelor, W. D. & Tylka, G. L. (2001). Estimating potential economic return for variable rate management in soybeans. Trans. ASAE, 44 (5), 1335/1341.
Phongsak, Yuhun. (2010). Introduction to Crop Modelling. pyuhun.googlepages.com/ IntroductiontoCropModelling.pdf. Accessed on 24.11.2010.
Pimentel, D. & Pimentel, M. (1996). Food, Energy, and Society, Univ. Pr of Colorado (USA), 363.
Pinter, P. J., Hatfield, J. L., Schepers, J. S., Barnes, E. M., Moran, M. S., Daughtry, M. S. & Upchurch, D. R. (2003). Remote sensing for crop management, Photogram. Eng. Remote Sens., 69, 647–664.
Pinto, F. & Reid, J. F. (1998). Heading angle and offset determination using principal component analysis. ASAE Paper 983113.
Rango, A., Laliberte, A. S., Steele, C., Herrick, J. E., Bestelmeyer, B., Schmugge, T., Roanhorse, A. & Jenkins, V. (2006). Using unmanned aerial vehicles for rangelands: current applications and future potentials, Environmental Practice, 8, 159-168.
Ranson, K. J., Sun, G., Weishampel, J. F. & Knox, R. G. (1997). Forest Biomass From combined ecosystem and radar backscatter modeling, Remote Sens. Environ., 1997, 59, 118–133.
Reid, J. F. (1987). The development of computer vision algorithms for agricultural vehicle guidance. Unpublished Ph.D Thesis, Texas A&M University.
Reid, J. F. & Searcy, S. W. (1986). Detecting crop rows using the Hough Transform. ASAE paper 86–3042, St. Joseph, MI.
Reid, J. F., Zhang, Q., Noguchi, N. & Dickson, M. (2000). Agricultural automatic guidance research in North America. Computer and Electronics in Agriculture, 25(2000), 155-167.
Rhoades, J. D., Bingham, F. T., Letey, J., Hoffman, G. J., Dedrick, A. R., Pinter, J. P. J. & Replogle, J. A. (1989). Use of saline drainage water for irrigation: Imperial Valley Study, Agricultural and Water Management, 16, 25–36.
Rossi, V., Pierluigi, M., Tito, C., Simona, G. & Tiziano, B. (2007). A Web-based Decision Support System for Managing Durum Wheat Crops. Retrieved at www. intechopen.com/ download/pdf/10944 in 27.6.12.
Saaty, T. & Vargas L. (2000). Methods, Concepts & Applications of the Analytic Hierarchy Process, Academic Pub Published,.
Saaty, T. L. (2001). Analytic network process. In Encyclopedia of Operations Research and Management Science, (pp. 28-35). Springer US.
Saaty, T. L. & Vargas, L. G. (1987). Uncertainty and rank order in the analytic hierarchy process. European Journal of Operational Research, 32(1), 107-117.
Saga, K., Yokoyama, Sand. & Imou, K. (2007). Net Energy Analysis of Bioethanol Production System from Rice Cropping, Journal of Japan Society of Energy and Resources, 29 (1), 30-35. (in Japanese).
Sagnac, G. (1913). The demonstration of the luminiferous aether by an interferometer in uniform rotation. Comptes Rendus, 157, 708–710.
Samson, S. A. (2000). Optical properties of vegetation in the visible, near- and shortwave infrared wavelengths. Mississippi State University Geospatial Technologies Extension Program, Geospatial Resource Paper #2.
Schowengerdt, R. A. (1997). Remote Sensing: Models and Methodsfor Image Processing, 2nd ed. San Diego, Calif.: Academic Press, 1997.
Schultz, W. (1993). Traffic and vehicle control using microwave sensors, Sensors, 34-42.
Seidl, M. S., Batchelor, W. D. Fakkick, J. B. & Paz, J. O. (2001). GIS- Crop model based Decision Support System to Evaluate Corn and Soybean Prescriptions.
Serrano, L., Filella, I. & Penuelas, J. (2000). Remote sensing of biomass and yield of winter wheat under different nitrogen supplies, Crop Sci., 40, 723–731.
Shoemaker, H.E., McLean, E.O. & Pratt. P.F. (1961). Buffer methods for determination of lime requirement of soils with appreciable amount of exchangeable aluminum. Soil Science Society of America Proceedings 25:274-277.
Shanahan, J. F., Schepers, J. S., Francis, D. D., Varvel, G. E., Wilhelm, W. W., Tringe, J. M. & Major, D. J. (2001). Use of remote-sensing imagery to estimate corn grain yield. Agronomy Journal, 93(3), 583-589.
Shaout, A. M., Jarrah, A. & Al-Araji, H. (2000). A nonlinear optimal four wheels steering controller. Proc. of the 43rd IEEE Midwest Symposium on Circuits and Systems, vol. 3, Lansing, MI, USA, 1426–1429.
Shearer, S. A., Fulton, J. P., McNeill, S. G., Higgins, S. F. & Mueller, T. G.(1999). Elements of Precision Agriculture: Basics of Yield Monitor Installation and Operation, Cooperative Extension Service, University of Kentucky.
Shimabukuro, Y. E., Carvalho, V. C. & Rudorff, B. F. T. (1997). NOAA-AVHRR data processing of vegetation cover, Int. J. Remote Sens., 18(3), 671-677.
Singels, A. (1992). Evaluating wheat planting strategies. Agricultural Systems, 38, 175-184.
Søgaard, H. T. & Olsen, H. J. (2003). Determination of crop rows by image analysis without segmentation. Comput Electron Agric, 2(38), 141-158.
Sǿgaard, H. T. (1999). Evaluation of the accuracy of a laser optic positional determination. Journal of Agricultural Engineering and Research, 74(3), 275-280.
Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World,McGraw Hill Higher Education (2000/12/1).
Stombaugh, T., Bensen, E. & Hummel, J. W. (1998). Automatic guidance of agricultural vehicles at high field speeds. ASAE paper 983110. St. Joseph. MI.
Sutiarso, L., Kurosaki, H., Takigawa, T., Koike, M., Yukumoto, O. & Hasegawa, H. (2002). Trajectory control and its application to approach a target: Part II. Target Approach Experiments. Transactions of ASAE, 45(4), 1199-1205.
Sutiarso, L., Takigawa, T., Koike, M. & Hasegawa, H. (2000). Trajectory control for agricultural autonomous vehicles: Part 3. A field experiment of the designed trajectory control. Journal of the Japanese Society of Agricultural Machinery, 62(6), 125-135.
Takigawa, T., Sutiarso, L., Koike, M., Kurosaki, H. & Hasegawa, H. (2002). Trajectory control and its application to approach a target: Part II. Target approach experiment. Trans. ASAE, 45(4), 1199-1205.
Thanpattranon, P., Ahamed, T. & Takigawa, T. (2015). Navigation of an Autonomous Tractor for a Row-Type Tree Plantation Using a Laser Range Finder—Development of a Point-to-Go Algorithm. Robotics, 4(3), 341-364.
Thenkabail, P. S., Enclona, E. A., Ashton, M. S., Legg, C. & De Dieu, M. J. (2004). Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests. Remote Sensing of Environment, 90(1), 23-43.
Tian, L., Hornbaker, R. & Schmidt, R. (1997). Aerial field sensing and mapping for precision farming. ASAE Paper No AA97-001.
Tian, L., Reid, J. F. & Hummel, J. (1999). Development of a precision sprayer for site-specific weed management. Transactions of the ASAE , 42(4), 893-900.
Till, J. E. & Meyer, H. R. (1983). Radiological assessment. A textbook on environmental dose analysis, (No. NUREG/CR-3332; ORNL-5968). Oak Ridge National Lab., TN (USA).
Ting, K. C., Abdelzaher, T., Alleyne, A. & Rodriguez, L. (2011). Information Technology and Agriculture: Global Challenges and Opportunities, The Bridge, National Academy of Engineering, Fall 2011 Agriculture and Information Technology.
Tochigi Branch Office, (2006). Annual statistics of agriculture, forestry and fisheries in Tochigi prefecture, Kanto regional agricultural administration office, (Japanese).
Tochigi Prefecture Government, (2005). Census for population and number of households, Tochigi Prefecture government, Japan, http://www.pref.tochigi.lg.jp/c04/pref/toukei /toukei / kokutyou.html, browsed on Apr. 22, 2011.
Tochigi Prefecture Government, (2010). Statistics in Tochigi, Tochigi Prefecture government, Japan, http:// www.pref.tochigi.lg.jp/ c04/ pref/ toukei/ toukei/ 1182414601763.html, browsed on Apr. 22, 2011.
Toffler, A. (1980). The third wave prosumers, Blackwell Encyclopedia of Sociology.
Tone, K. & Introduction to AHP, (1986). Decision-making method as game feeling, Nikka-Giren, Tokyo, 218pp. (in Japanese).
Torii, T., Kanuma, T., Okamoto, T. & Kitani, O. (1996). Image analysis of crop row for agricultural mobile robot. Proceedings of AGENG96, Madrid, Spain, EurAgEng, 1045–1046.
Torre, J. (2005). Report of existing GIS standards and software - Deliverable 3.6.1, Core GIS 6.1,ices-SYNTHESYS NA-D 3.6 report, 11p.
Udagawa, T. (1976). Estimation for input energy for rice production in Japan, Journal of Environmental Information Science, 5(2), 73-79.
Ushiyama, I. (2005). Basic of wind energy, Ohmusha, Tokyo, pp 96. 2005 (in Japanese).
Utsunomiya City Government, (2002). New energy vision of Ustunomiya City, Utsunomiya city government, http://www.city.utsunomiya.tochigi.jp/kankyo/shigen/002488.html, browsed on Jan. 12, 2011.
Van Zuydam, R. (1999). A drivers steering aid for an agricultural implement based on an electronic map and real time kinematic DGPS. Computer and Electronics in Agriculture, 24, 153-163.
Vitosh, M. L., Johnson, J. W. & Mengel, D. B. (1995). TH-state Fertilizer Recommendations for Corn, Soybeans, Wheat and Alfalfa.
Wakeyama, T. & Ehara, Y. (2009). Assessment of Renewable Energy by Using GIS : A Case Study of Unzen City, Journal of the Japan Institute of Energy., 88, 58-69. (in Japanese).
Wang, D, Wilson, C. & Shannon, M. C. (2002). Interpretation of salinity and irrigation effects on soybean canopy reflectance in visible and near-infrared spectrum domain, Int. J. Remote Sens., 2002, 23(5), 811–824.
Wareing, P. F. & Philips, I. D. J. (1981). Growth and Differentiation in Plants, Pergamon Press, NY, (1981).
Warncke, D. D., Dahl, J., Jacobs, L. & Laboski, C. (2009). Nutrient recommendations for field crops in Michigan. Michigan State University Extension.
Weiguo, W., Huitang, C. & Yuejuan, W. (1999). Backstepping design for path tracking of mobile robots“, in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 3, Kyongju, Korea, 1999, pp. 1822–1827.
Weinmann, B. (2002). Mathematische Konzeption und Implementierung eines Modells zur Simulation regionaler Landnutzzungsprogramme, Agrarwirtschaft Sonderheft, 174, Agrimedia.
Wiegand, C. L., Everitt, J. H. & Richardson, A. J. (1992). Comparison of multispectral video and SPOT-1 HRV observations for cotton affected by soil salinity. International Journal of Remote Sensing, 13(8), 1511-1525.
Wiegand, C., Anderson, G., Lingle, S. & Escobar, D. (1996). Soil salinity effects on crop growth and yield: Illustration of an analysis and mapping methodology for sugarcane, Journal of Plant Physiology, 148(3–4), 418–424.
Will, J., Stombaugh, T., Benson, E., Noguchi, N. & Reid, J. F. (1998). Development of a flexible platform for agricultural automatic guidance research. ASAE paper 983202.
Woodburry, N., Brubacher, M. & Woodbury, J. R. (1993). Noninvasive tank gigging with frequency-modulated laser ranging, Sensors, September, 27-31.
Xiang, H. & Tian, Lei. (2007). Artificial Intelligence controller for automatic multispectral camera parameter, Transactions of ASABE, 50(5), 1873-1881, 2007.
Xiang, H. (2006). Autonomous Agricultural Remote Sensing Systems with High Spatial And Temporal Resolutions, PhD Dissertation University of Illinois at Urbana-Champaign, Department Of Agricultural and Biological Engineering, 2006.
Xiang, H. & Tian, L. (2011). Development of a low-cost agricultural remote sensing system based on an autonomous unmanned aerial vehicle (UAV) Biosystems Engineering, 108 (2), 174-190.
Xiong, Y., Tian, L., Ahamed, T. & Zhao, B. Development of the Reconfigurable Data Acquisition Vehicle for Bio-energy Crop Sensing and Management, Journal of Mechanical Design, American Society of Mechanical Engineers (ASME), 134 (015), 1-7.
Xu, H. & Yang, S. X. (2001). Tracking control of a mobile robot with kinematic and dynamic constraints. Proc. of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, Alberta, Canada, 2001, 125–130.
Xue, J., Zhang, L. & Grift, T. E. (2012). Variable field-of-view machine vision based row guidance of an agricultural robot. Computers and Electronics in Agriculture, 84, 85-91.
Yamamoto, H., Yamaji, K. & Fujino J. (2000). Scenario analysis of bioenergy resources and CO2 emissions with a global land use and energy model, Applied Energy, 66, 325-337.
Yang, C., Everitt, J. H., Bradford, J. M. (2002). Airborne hyperspectral imaging and yield monitoring of grain sorghum yield variability, ASAE Paper No. 021079.
Yang, S. X., H. Li. & Meng, M. (2003). Fuzzy control of a behavior-based mobile robot, in Proc. of the 12th IEEE International Conference on Fuzzy Systems, vol. 1, 319–324.
Yao, H. & Tian, L. (2004). Practical methods for geometric distortion correction of areal hyperspectral imagery, Appl. Eng. Agric., 20(3), 367-375, 2004.
Yoshida, J. (1996). A study on the automatic farm machine system for rice. Crop Engineering System Laboratory, Inc., Sakai, p. 148.
Yoshizawa, K., Hashimoto, H. & Wada, M. (1996). Path tracking control of mobile robots using a quadratic curve. Proc. of the IEEE Intelligent Vehicles Symposium, Tokyo, Japan, 58–63.
Young, A. & Young, R. (2001). Soils in the Australian landscape, Oxford University Press, Melbourne.
Yukumoto, O., Matsuo, Y. & Noguchi, N. (1997). Navigation technology for tilling robots. Robotisation of agricultural vehicles and the outline of navigation system for tilling robot. Proc. International Symposium on Mobile Agricultural Bus-System Lab and PA for the Large Scale Farm Mechanization, 18 September, Sapporo, Japanese Society of Agricultural Machinery, Omiya, 59–78.
Zhang, J. R. Xu, S. J. & Rachid, A. (2002). Sliding mode controller for automatic path tracking of vehicles. Proc. of the IEEE American Control Conference, vol. 5, Anchorage, AK, USA, 3974–3979.
Zhang, L., Takigawa, T., Ahamed, T., (2015). Leader-Follower Tracking System for Agricultural Vehicles: Fusion of Laser and Odometry Positioning Using Extended Kalman Filter, Vol. 4, No. 1, March 2015, pp. 1~18
Zhang, L., Ahamed, T., Zhang, Y., Gao, P., Takigawa, T., (2016). Vision-based Leader Vehicle Trajectory Tracking for Multiple Agricultural Vehicles (Under Review).
Zhang, N., Wang, M. & Wang, N. (2002). Precision agriculture--A worldwide overview. Computers and Electronics in Agriculture, 36, 113-132.
Zhang, Y., Gao, F. Tian, L. & Ahamed, T. (2009). Automatic Ground Control Point Data Collection through Autonomous Mobile Robot, Proceedings of International Conference on Mechanical and Electrical Technology.
Zhang, Z. (2000). A flexible camera calibration by viewing a plane from unknown orientations. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(11).
Zimble, D. A., Evans, D. L., Carson, G. C., Parker, R. C., Grado, S. C. & Gerard, P. D. (2003). Characterizing vertical forest structure using small-footprint airborne lidar, Remote Sens. Environ., 2003, 87, 171–182. predictions and measured values. Agronomy Journal, 95, 1442–1446.

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