AI, ML, and IoT for Smart Agriculture: Innovations in Crop Yield, Resource Optimization, and Sustainable Farming Practices

Dr. Subharun Pal, Dr. T. Aditya Sai Srinivas, Dr. BABU RAO GADDALA, Dr. Debabrata Dansana

Indexed In: Google scholar

Release Date: 18/11/2025 | Copyright:©2025 | Pages: 437

DOI: 10.71443/9789349552739

ISBN10: 9 | ISBN13: 9789349552739

Hardcover:$300

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'AI, ML, and IoT for Smart Agriculture: Innovations in Crop Yield, Resource Optimization, and Sustainable Farming Practices' explores the role of advanced technologies in transforming agriculture. This book highlights the use of AI, ML, and IoT to optimize crop yields, enhance resource efficiency, and implement sustainable farming practices. It covers smart irrigation, precision farming, pest detection, and data-driven decision-making to address key agricultural challenges. Through real-world case studies, the book showcases how these technologies are driving innovation and improving environmental and economic sustainability in farming practices globally.

This book covers the transformative impact of AI, ML, and IoT in modern agriculture. It explores how these technologies optimize crop yields, improve resource efficiency, and support sustainable farming practices. Topics include AI-driven crop disease detection, ML for yield prediction, IoT-based precision irrigation, and smart farming systems. The book also examines how autonomous machinery and automated data collection enhance operational efficiency, reduce resource waste, and mitigate environmental impact. Through case studies, it highlights successful global applications of these innovations, offering practical insights for improving agricultural productivity, sustainability, and addressing key challenges like climate change and food security.

Table Of Contents

Detailed Table Of Contents


Chapter 1

An Introduction to Smart Agriculture: Leveraging AI, ML, and IoT to Transform Traditional Farming and Ensure Food Security

Sudarshan Balasaheb Babar, Satish Angadrao Warpade

(Pages:35)

Chapter 2

Future Directions: Next-Generation AI, ML, and IoT Innovations for Sustainable and Resilient Farming

Lalit Kumar Rawat, R. Arulkumar

(Pages:33)

Chapter 3

Climate-Smart Agriculture: Using AI and Predictive Models for Weather Forecasting and Risk Mitigation

R. Lakshminarayanan, P Bhargavi

(Pages:32)

Chapter 4

Robotics and Automation in Smart Farming: The Path Towards Autonomous Agricultural Systems

P. Chokkalingam, E Ajai Kumar

(Pages:31)

Chapter 5

Blockchain and AI in Agriculture: Enhancing Transparency, Security, and Efficiency in Supply Chains

Sohit Reddy Kalluru, Saroj Kumar Nanda

(Pages:32)

Chapter 6

Integrating Remote Sensing with IoT for Crop Health Monitoring, Land Mapping, and Precision Agriculture

Jagdish Chand, Kavita Singh

(Pages:36)

Chapter 7

Deep Learning for Plant Growth Monitoring, Stress Detection, and Prediction in Smart Farming

Anuradha Murari Joshi, Tanmaya Bhoi

(Pages:39)

Chapter 8

IoT and AI Applications for Reducing Water Usage: Advanced Strategies for Smart Irrigation and Conservation

K. Mohan, P Santhosh

(Pages:39)

Chapter 9

Intelligent Pest Detection and Control Using AI Vision, IoT Sensors, and Predictive Analytics

Alok Kumar Srivastava, Jyoti Prasad Patra

(Pages:39)

Chapter 10

ML Approaches for Early Detection, Classification, and Prediction of Crop Diseases in Agriculture

Komal Baburao Umare, J. Manivannan

(Pages:36)

Chapter 11

AI-Driven Fertilizer Recommendation Systems Using Big Data, Soil Health Indicators, and Predictive Models

A. Nishanandhini, T. Sowmya Shree

(Pages:37)

Chapter 12

Seed Quality Prediction and Selection Using ML, Image Processing, and IoT Data for Crop Performance

V. Ravikumar, V.Raaga Varsini

(Pages:38)

Chapter 13

Drone-Based Precision Spraying: Applying AI and IoT for Targeted Fertilizer, Pesticide, and Nutrient Delivery

G. Vijayakumar, C. Parameswari

(Pages:37)

Chapter 14

Smart Irrigation: Integrating IoT Sensors, ML Models, and Automated Control for Precision Water Management

K. Ramadevi, B. Karunamoorthy

(Pages:33)

Chapter 15

AI-Powered Monitoring and Optimization of Crop Cultivation Techniques to Maximize Yield and Resource Use

D. Jayasutha, N. Abinaya

(Pages:32)


Contributions


Dr. Subharun Pal is a distinguished scholar and practitioner whose academic journey spans some of the world’s most renowned institutions. He holds two doctorates—a Doctor of Business Administration from the Swiss School of Management, Switzerland, and a Professional Doctorate in Education from the European International University, Paris. His advanced studies include an M.Tech in Artificial Intelligence & Machine Learning (IIT Jammu), an MBA in Finance (IIT Patna), an MBA in Information Systems (Edith Cowan University, Perth), and an M.Tech in Computer Science (KSOU, Mysuru). His academic pursuits further extend to postgraduate diplomas in Supply Chain Management (CII, Chennai) and Business Law (WBNUJS, Kolkata), executive programs in Business Analytics & Business Intelligence (IIM Ranchi) and Applied Finance (IIM Calcutta), and a B.E. in Information Science & Engineering (VTU, Belagavi). Complementing his degrees, Subharun has built a global portfolio of professional certifications that reflect both depth and versatility. These include Lean Six Sigma Green Belt (KPMG), PRINCE2 Practitioner, ITIL v3, ISO Lead Auditor (ISMS, ITSMS, BCMS), CEH, CCNP/CCNA Security, MCSE, Linux System Administration, SCJP, SCWCD, and VB.NET. He has also trained with leading institutions worldwide, including ISI Bangalore (Data Mining & Business Analytics), SIAC Singapore (International Arbitration), ILI New Delhi (Cyber Laws), and SHRI Singapore (HR Management). With this rare combination of academic depth, industry expertise, and global recognition, Subharun Pal brings both authority and clarity to his writing. His work bridges knowledge and practice, inspiring readers to think differently, act boldly, and pursue excellence as a lifelong journey.

Dr. T. Aditya Sai Srinivas is an accomplished academician currently serving as an Associate Professor in the Department of Computer Science and Engineering at Ravindra College of Engineering for Women, Kurnool. He holds a Ph.D. in Internet of Things (IoT) from the prestigious VIT University, Vellore, where he specialized in cutting-edge IoT frameworks and intelligent systems. With a strong research orientation, he has published over 45 research papers in reputed international journals. His academic contributions extend beyond research, having authored multiple textbooks in computer science and engineering. Dr. Srinivas is actively involved in mentoring students and guiding innovative projects in emerging technologies like ML, IoT, and FL. He is also a regular contributor to academic conferences and technical symposiums. His work reflects a commitment to both scholarly excellence and practical application in the evolving tech landscape.

Dr.BABU RAO GADDALA is currently working as Associate Professor in the department of Chemical Engineering, Guru Ghasidas Vishwavidyalaya (A Central University),Bilaspur, Chhattisgarh, India.. I have consolidated experience of 18 years in teaching in India & abroad (Oman).I have been awarded Ph.D in the month of January 2016 in the Department of Chemical Engineering from Andhra University, Visakhapatnam, India. I have obtained M.Tech degree first class with distinction in Chemical Engineering in 2007 & B.Tech in 2005 from Vignan’s Engg College(Now its Vignan University) Guntur. I have published 39 research articles in peer reviewed journals (SCI/SCOPUS indexed), 2 book chapters, Editor for 2 Edited books, 11 patents in national and international level. I have participated and presented Papers in national (8) and international conferences (11) in India, Oman & Bahrain. I have attended 16 weeks of various FDP in premier organizations and online FDPs (10) and webinars (20). I have supervised 17 B.Tech Chemical Engineering & 1 M.Tech project and have 20 national & international Professional Body Memberships.

Dr. Debabrata Dansana, Head, Department of Computer Science, Rajendra University, Balangir, Odisha, India. Dr. Debabrata Dansana is an academician and researcher currently serving as Head of the Department of Computer Science at Rajendra University, Balangir. He holds a Ph.D. in Computer Science with M-Tech, B-Tech.His research areas include Artificial Intelligence, Machine Learning, IoT, Deep Learning, and Cognitive Radio Ad-Hoc Networks. He has served at reputed institutions such as Kalinga Institute of Social Sciences, GIET University, SUIIT (Sambalpur University), and KIST, Bhubaneswar. Dr. Dansana has published over 30 research papers and 10 conference papers in reputed journals including IEEE Transactions, IEEE Access, Soft Computing, Scientific Reports, and Cluster Computing. He has also authored book chapters and holds several patents in AI-driven healthcare and IoT-based systems. A recipient of multiple awards, he was a finalist in the Smart India Hackathon 2023 and winner of the Smart Odisha Hackathon and Toycathon. He is an active IEEE member and continues to guide young researchers in the field of intelligent computing.

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