Agriculture & Allied Sciences

Innovations in Agricultural and Biological Engineering

Smart Irrigation for Sustainable Agriculture
Applications of AI, IoT, Machine Learning, and Generative AI

Editors: Gaurav Saini, PhD
Megh R. Goyal, PhD, PE

Smart Irrigation for Sustainable Agriculture

In Production
Pub Date: Forthcoming June 2027
Hardback Price: $200 US | £150 UK
Hard ISBN: 9781779648839
E-Book ISBN: 978-1-77964-884-6
Pages: Est 398 pp w index
Binding Type: Hardback / ebook
Series: Innovations in Agricultural and Biological Engineering
Notes: 12 color and 8 b/w illustrations

This new volume, Smart Irrigation for Sustainable Agriculture: Applications of AI, IoT, Machine Learning, and Generative AI, presents a timely and practical exploration of how advanced digital technologies are transforming modern irrigation systems and sustainable agriculture. As water scarcity, climate change, and uneven resource distribution continue to threaten global food security, efficient irrigation has become essential for agricultural productivity and farmer resilience. This volume highlights how artificial intelligence, machine learning, the Internet of Things, generative AI, GIS, and satellite imagery can work together to optimize water use, improve decision-making, and support climate-smart farming.

The book examines how AI-driven tools enable real-time monitoring of irrigation needs, predictive resource allocation, and automated responses through smart sensors and connected systems. It discusses IoT-based irrigation networks, human–AI collaboration, and machine learning models that enhance water-use efficiency while reducing labor and operational costs.

Case studies on hydroponics and aeroponics demonstrate how sensor-based automation improves precision in soilless cultivation systems. The volume also explores the integration of satellite imagery and GIS for large-scale precision agriculture, allowing better irrigation planning across wider landscapes. Special attention is given to climate change adaptation, particularly in vulnerable regions such as the North-Western Himalayas, where machine learning helps farmers respond to environmental uncertainty.

Key features:
• Explores AI, ML, IoT, and generative AI applications in smart irrigation
• Describes hydroponics, aeroponics, and sensor-based automation systems
• Examines GIS and satellite imagery integration for precision agriculture
• Provides climate-smart strategies for sustainable water management and food security

Combining state-of-the-art reviews with practical applications, this book serves as a valuable resource for researchers, engineers, agricultural scientists, policymakers, and farmers seeking sustainable solutions for future-ready irrigation systems.

CONTENTS:
Preface
PART I: INTRODUCTION TO AI, ML, GENERATIVE AI, AND IoT IN IRRIGATION

1. Leveraging AI, ML, ChatGPT, and IoT for Sustainable Irrigation: Enhancing Water Use Efficiency and Resource Allocation
Yahaya Hassan Labaran and Nihat Atmaca

2. Evaluation of Advanced Machine Learning Algorithms for Agriculture
Avinash Kumar, Garima Srivastava, and Rajat Kumar

3. Automated Irrigation Systems Using IoT and AI
Javid Ahmad Bhat, Sumyrah Mukhtar, Fathima Sajwa, Aamina Manzoor, G. S. Anjana, Renuka, and Agragni Hazarika

4. Human-AI Collaboration for Sustainable Irrigation Practices
S. C. Vetrivel, V. Sabareeshwari, and K. C. Sowmiya

PART II: CASE STUDIES OF SMART IRRIGATION PRACTICES

5. Sensor-Based Automated Smart Hydroponics System
Anupriya Verma and Gaurav Saini

6. Role of Intelligent Sensors in Aeroponic Systems for Modern Plant Cultivation
Pushpendra Kumar Rajput, Ankit Khare, and Sudeep Varshney

PART III: INTEGRATING AI, GIS, AND SATELLITE IMAGERY FOR PRECISION AGRICULTURE

7. AI-Driven Precision Agriculture Through Satellite Imagery Integration
Avinash Kumar and Kailash Chandra Tiwari

8. Integration of Satellite Imagery and AI for Precision Agriculture
Renuka, Inayat Mustafa Khan, M. H. Chesti, Javid Ahmad Bhat, Sumyrah Mukhtar, Dhamni Patyal, Agragni Hazarika, Savita Rani Rajput, and Anirudh Khajuria

9. Optimizing Irrigation Systems with Satellite Imagery and AI: Pathways to Sustainable Farming and Food Security
Avinash Kumar, Poonam Vishwas, and Kailash Chandra Tiwari

PART IV: COUNTERING CLIMATE CHANGE IN IRRIGATION

10. Countering Climate Change: AI and ML Applications in Irrigation
Mohit Singh, Athar Hussain, Shray Pathak, Abdul Gani, and Manjeeta Priyadarshi

11. Smart Irrigation in the Northwestern Himalayas: Harnessing Machine Learning for Climate Change Adaptation
Poonam Vishwas, Avinash Kumar, and Kailash Chandra Tiwari

Index


About the Authors / Editors:
Editors: Gaurav Saini, PhD
Associate Professor, Department of Civil Engineering, Netaji Subhas University of Technology, Delhi, India

Gaurav Saini, PhD, is working as an Associate Professor in the Department of Civil Engineering at Netaji Subhas University of Technology, Delhi, India. His current areas of research include sustainability, natural materials, pollution control, pollution and human health, and, broadly, environmental engineering. He has guided 48 theses at the master’s level and five at the doctoral level (one awarded), in addition to numerous BTech-level projects. His research work has resulted in several research papers in journals of repute, conference presentations at the international level, and 20 patent filings (seven awarded). He serves as a resource person for various governmental bodies and universities for academic, research, and consultancy-related endeavors. He also serves as an ad-hoc reviewer for more than 25 international journals. He has edited one book and guest-edited a special issue of a Springer journal. He has more than a decade’s experience in teaching at undergraduate and graduate levels and has been actively engaged in research for the last two decades. He is an alumnus of Delhi College of Engineering, India, where he earned his Bachelor of Engineering degree. He is also an alumnus of the Oregon State University, United States, where he earned his MS and PhD degrees in Environmental Engineering. He also completed a postdoctoral at the University of Delaware, USA.

Megh R. Goyal, PhD, PE
Retired Professor in Agricultural and Biomedical Engineering, University of Puerto Rico, Mayaguez Campus; Senior Technical Editor, Biomedical Engineering and Agricultural Science, Apple Academic Press, Inc.

Megh R. Goyal, PhD, PE, is a Retired Professor in Agricultural and Biomedical Engineering from the General Engineering Department in the College of Engineering at the University of Puerto Rico–Mayaguez Campus. He has worked as a Soil Conservation Inspector and as a Research Assistant at Haryana Agricultural University and Ohio State University. He was the first agricultural engineer to receive the professional license in Agricultural Engineering from the College of Engineers and Surveyors of Puerto Rico and was proclaimed as the “Father of Irrigation Engineering in Puerto Rico for the twentieth century” by the ASABE, Puerto Rico Section, for his pioneering work on micro irrigation, evapotranspiration, agroclimatology, and soil and water engineering. During his professional career of over 55 years, he has received many prestigious awards. A prolific author and editor, he has written more than 200 journal articles and several textbooks and has edited over 140 books




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