Computational Intelligence and Image Processing in Agriculture

Name: Computational Intelligence and Image Processing in Agriculture
Price: 136 USD
Availability: InStock
ISBN: 9781394320875

Applications and Innovations

by Jay Kumar Pandey, Mritunjay Rai, Tanmay Sarkar

1st Edition

Publisher: Wiley-IEEE Press

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Book Details

Print ISBN	9781394320875
eText ISBN	9781394320882
Publisher	Wiley-IEEE Press
Publishing Year	2026
Edition	1st Edition
Language	English
Pages	272

The 1st Edition of Computational Intelligence and Image Processing in Agriculture presents a structured technical introduction to computational systems in modern farming operations. Written for advanced undergraduate and graduate students pursuing degrees in agricultural engineering, computer science, and artificial intelligence applications, this textbook establishes core concepts for automated agricultural workflows. It explains how technical frameworks process sensor inputs to enhance farm management.

The primary coverage synthesizes deep learning algorithms, computer vision principles, and AI-driven robotics across production environments. Readers examine real-time monitoring systems, image processing algorithms, and LiDAR technology applied directly to field operations. Dedicated chapters detail autonomous drones programmed for agricultural monitoring and targeted pest control interventions.

A defining technical feature details AI robotics configured specifically for soil analysis and systematic fertility management. This 272-page textbook bridges university instruction and professional reference, giving agricultural scientists, AI practitioners, and quality control experts verified computational approaches.

Chapter 1: Grain Quality Assessment: Image-based Techniques for Grain Analysis, Detecting Contaminants and Impurities and Real-world Applications
Chapter 2: AI-driven Robotics in Agriculture
Chapter 3: Computer Vision in Agriculture: Object Detection, Recognition, and Image Segmentation Techniques and Advanced Image Analysis
Chapter 4: Artificial Intelligence and Machine Learning in Agriculture: Novel Techniques, Implementation Strategies, and Application
Chapter 5: A Novel Approach Toward Computational Image Processing and Strategies for Precision Agriculture
Chapter 6: Adoption of Advanced Technologies in Soilless Modern Agriculture
Chapter 7: Computer Vision in Agriculture
Chapter 8: Quality Evaluation of Fruits and Vegetables
Chapter 9: Ensuring Quality in Fruits and Vegetables: Strategies and Tools
Chapter 10: Mapping and Validation of Fusion-based Classification of Land Use and Land Cover Using Remote Sensing Satellite Images
Chapter 11: Computer Vision Applications for Sustainable Agriculture
Chapter 12: Autonomous Drones and AI Applications in Agriculture for Monitoring and Pest Control
Chapter 13: Using AI Robotics for Soil Analysis and Fertility Management in Agriculture
Chapter 14: Computational Intelligence and IoT in Transforming Agricultural Environmental Control
Chapter 15: Real-time Monitoring and Quality Evaluation System of Fruits and Vegetables Using Image Processing
Chapter 16: Computational Intelligence and Image Processing in Quality Evaluation of Agricultural Products