Artificial Intelligence in Regenerative Agriculture

Transforming Soil Health and Crop Productivity
1. Auflage 2026
ISBN: 978-1-041-46660-4
Verlag: Taylor & Francis

Buch, Englisch, 568 Seiten, Format (B × H): 178 mm x 254 mm

This book explores the transformative role of artificial intelligence (AI) in advancing regenerative agriculture and sustainable soil management. It examines cutting-edge AI technologies, including machine learning, deep learning, and IoT integration, to address critical challenges in soil health, water management, and:

- Explores AI's transformative role in regenerative agriculture by addressing challenges in soil health, water management, and sustainable farming practices.

- Presents cutting-edge AI technologies such as machine learning, deep learning, and neural networks for soil nutrient mapping, fertility assessment, and crop productivity.

- Highlights innovative applications of AI and IoT integration for precision soil health management and real-time monitoring of soil conditions.

- Discusses AI-enabled solutions for sustainable farming, including biochar application, nutrient cycling, and soil water retention to enhance soil resilience.

- Covers the use of AI in circular agriculture, focusing on waste recycling, carbon farming, and improving soil health through sustainable practices.

This title has been co-published with Elite Publishing House. T&F does not sell or distribute the print versions in India.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Naresh, R. K.

Bhatt, Rajan

Verma, Krishan K.

Katiyar, Hari Om

Kumar, Arun

Oliveira, Mauro Wagner de

Fachgebiete

• Geowissenschaften Geographie | Raumplanung Geographie: Sachbuch, Reise
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Ökotrophologie (Ernährungs- und Haushaltswissenschaften)
• Geowissenschaften Umweltwissenschaften Klimawandel, Globale Erwärmung
• Sozialwissenschaften Soziologie | Soziale Arbeit Spezielle Soziologie Sachkultur, Materielle Kultur
• Interdisziplinäres Wissenschaften Wissenschaft und Gesellschaft | Kulturwissenschaften Kulturwissenschaften: Ernährung & Gesellschaft
• Geowissenschaften Umweltwissenschaften Umweltschutz, Umwelterhaltung
• Naturwissenschaften Biowissenschaften Biowissenschaften Biowissenschaften, Biologie: Sachbuch, Naturführer
• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Naturwissenschaften Biowissenschaften Biowissenschaften Ökologie

Inhaltsverzeichnis

- Preface

- About the Authors

- Introduction

- Artificial Intelligence: A Game Changer in Regenerative Agriculture

- AI-Powered Decision Making for Sustainable Soil Management

- Smart Sensors and AI for Real-Time Soil Fertility Assessment

- Machine Learning in Soil Health Monitoring and Restoration

- Deep Learning for Soil Nutrient Mapping and Optimization

- AI-Enabled Remote Sensing for Soil Moisture and Organic Matter

- Predictive Analytics for Soil Fertility and Crop Productivity

- AI in Sustainable Water Management for Regenerative Farming

- Digital Twin Technology for Regenerative Farming Systems

- Harnessing AI for Biochar Application in Soil Revitalization

- Artificial Intelligence in Enhancing Rhizosphere Dynamics

- Integrating AI with IoT for Precision Soil Health Management

- Neural Networks for Soil Microbial Diversity Enhancement

- Smart AI Solutions for Enhancing Rhizosphere Interactions

- AI in Circular Agriculture: Reducing Waste and Improving Soil Health

- AI-Powered Crop Selection for Soil Health Optimization

- AI-Integrated Smart Fertilization for Balanced Nutrient Supply

- AI and Blockchain for Soil Health Data Transparency

- AI in Cover Crop and Crop Rotation Strategies for Soil Health

- AI for Enhancing Microbial Consortia in Regenerative Agriculture

- AI-Enabled Smart Crop Selection for Soil Sustainability

- AI in Enhancing Nutrient Cycling and Soil Food Webs

- AI in Sustainable Pest and Weed Management for Healthy Soils

- AI-Assisted Crop Residue Management for Nutrient Cycling

- AI-Based Solutions for Soil Water Retention and Drought Resilience

- Cloud Computing and AI for Farm-Level Soil Health Forecasting

- AI-Driven Nutrient Budgeting for Sustainable Soil Fertility

- AI-Integrated Digital Twins for Smart Soil and Crop Management

- AI-Enabled Regenerative Practices for Carbon Farming

- AI in Circular Agriculture: Waste Recycling for Soil Health

- References

Über Autor(innen)

R.K. Naresh is a former professor of agronomy at Sardar Vallabhbhai Patel University of Agriculture & Technology, Meerut, Uttar Pradesh, India. He has extensive experience in agricultural research and education, specializing in sustainable farming practices.

Rajan Bhatt is affiliated with Krishi Vigyan Kendra, Amritsar, under Punjab Agricultural University, Punjab, India. His work focuses on agricultural extension and innovative farming techniques to enhance crop productivity and soil health.

Krishan K. Verma is a researcher at the Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China. He specializes in sugarcane agronomy and soil management strategies for sustainable agriculture.

Hari Om Katiyar serves at the Directorate of Extension, Sardar Vallabhbhai Patel University of Agriculture & Technology, Meerut, Uttar Pradesh, India. He is dedicated to agricultural extension services and promoting regenerative farming practices.

Arun Kumar is part of the Department of Agronomy at the Livestock Research Station Beechwal, Rajasthan University of Veterinary & Animal Sciences, Bikaner, Rajasthan, India. His expertise lies in agronomy and integrated farming systems.

Mauro Wagner de Oliveira is based at the Campus of Agricultural Engineering and Sciences, Federal University of Alagoas, Brazil. He focuses on agricultural engineering and sustainable farming technologies to improve soil and crop management.