Bioproduction Engineering: A Road Map for Sustainable Agricultural Practices

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

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

Noguchi Ryozo, 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: Global Agriculture: Developments, Issues, and Research, Biotechnology in Agriculture, Industry and Medicine
BISAC: TEC003000

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$179.00

Volume 10

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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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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. Understanding bioproduction engineering and development can help improve the efficiency of sustainable agriculture and future renewable energy resources. With the aim of understanding this question, this book focuses on bioproduction and sustainability issues, covering sensors, agricultural decision making systems and the relationship between bioproduction and sustainable practices of agriculture. Topics discussed include 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. This material will appeal to a wide range of readers and is designed as a resource for graduate and undergraduate students working in any area of agricultural engineering, crop sciences, or environmental science disciplines. The book also includes questions and sample model problems to allow readers to practice implementing the modeling tools. (Imprint: Nova)

Preface pp,xii-xvi

Chapter 1. Introduction pp,1-14

Chapter 2. Sensors for Intelligent Systems in Agriculture pp,15-42

Chapter 3. Control and Navigation for Intelligent Systems in Agriculture pp,43-82

Chapter 4. Sensors for Monitoring Agricultural Productivity pp,83-104

Chapter 5. Spectral Imagery and Remote Sensing in Agriculture pp,105-140

Chapter 6. GIS and Decision Support Systems in Agriculture pp,141-170

Chapter 7. System Design for Renewable Energy Resources in Agriculture
pp,171-206
Chapter 8. System Hierarchy for Determining the Potential of Renewable Energy in Agriculture pp,207-232

References pp,233-244

Index pp,245-247

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