Principles of Digital Image Processing for Agricultural Applications

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Suryaprabha Deenan, PhD – Assistant Professor, Department of Computer Applications, Nehru Arts and Science College, Coimbatore, Tamil Nadu, India
Satheeshkumar Janakiraman, PhD – Associate Professor, Department of Computer Applications, Bharathiar University, Coimbatore, Tamil Nadu, India
Seenivasan Nagachandrabose, PhD – Associate Professor, Department of Nematology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India

Series: Agriculture Issues and Policies
BISAC: SCI003000; TEC003000; TEC015000
DOI: 10.52305/LZGO5867

This book is designed for undergraduate and post-graduate agricultural science students and agricultural engineering researchers to provide a comprehensive insight into the role of digital image processing in agriculture, and its basic principles to solve agriculture issues. This book is constructed with 11 different chapters comprising an introduction to digital image processing, various applications of digital image processing, the role of image processing in the agriculture sector, an overview of fundamental digital image processing procedures, image acquisition methods appropriate for various agricultural situations, image enhancement tools for images acquired in different conditions, image segmentation methods concerned with plant and agriculture images, feature extraction techniques applicable for agricultural images, image classification or pattern recognition to solve agricultural problems, quality assessment metrics of reference and non-reference agriculturally important images and a case study on successful digital image processing application on the banana.

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Table of Contents

Preface

Chapter 1. Introduction to Digital Image Processing

Chapter 2. Various Applications of Digital Image Processing

Chapter 3. Role of Image Processing in the Agricultural Sector

Chapter 4. An Overview of Fundamental Digital Imagen Processing Procedures

Chapter 5. Image Acquisition Methods Appropriate for Various Agricultural Situations

Chapter 6. Image Enhancement Tools for Images Acquired in Different Agro Conditions

Chapter 7. Image Segmentation Methods Concerned with Plant and Agriculture Images

Chapter 8. Feature Extraction Techniques Applicable for Agricultural Images

Chapter 9. Image Classification or Pattern Recognition to Solve Agricultural Problems

Chapter 10. Quality Assessment Metrics of Reference and Non-Reference Agriculturally Important Images

Chapter 11. A Case Study on the Successful Application of Digital Image Processing to Bananas

References

About the Authors

Index