In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies.

Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.

Gururaj H L (Senior Member, IEEE) is currently working as Associate Professor, Department of Information Technology, Manipal Institute of Technology, Bengaluru, India. He holds a Ph. D degree in Computer Science and Engineering from Visvesvaraya Technological University, Belagavi, India. He is a Senior member of ACM and working as ACM Distinguished Speaker. He is the founder of Wireless Internetworking Group (WiNG). He is a Senior member of IEEE and lifetime member of ISTE and CSI. Dr. Gururaj received the young scientist International Travel Grant award from the Government of India. He has 13 years of teaching experience.at both UG and PG level. His research interests include BlockChain Technology, Cyber Security, Wireless Sensor Network, Ad-hoc networks, IOT, Data Mining, Cloud Computing and Machine Learning. He has guided 30 UG students and 20 PG students. He has published more than 150+ research papers including 20 SCI publications. He has Edited 20 books with reputed publishers. He has presented 55 papers at various international Conferences.

Francesco Flammini (Senior Member, IEEE) was born in Formia, Italy, in 1978. He received the master’s degree (cum laude) in computer engineering and the Ph.D. degree in computer and automation engineering from the University of Naples Federico II, Italy, in 2003 and 2006, respectively. From 2003 to 2007, he was a Software Engineer with Ansaldo STS (now Hitachi Rail), where he was a Senior Innovation Engineer, from 2007 to 2016. From 2016 to 2017, he worked as an Information Security Compliance Manager with the Italian State Mint and Polygraphic Institute. Since 2018, he has been working as an Associate Professor with Linnaeus University, Sweden, where he has chaired the cyber-physical systems (CPS) environment. He had leadership roles in more than ten research projects. He has edited or authored more than ten books and 130 publications. His research interests include resilient cyberphysical systems and trustworthy autonomy. He is an ACM Distinguished Speaker and the Chair of the IEEE SMC Technical Committee on Homeland Security.

Shreyas J is currently working as Assistant Professor, Department of Information Technology, Manipal Institute of Technology, Bengaluru, India. He holds a Ph. D degree in Computer Science and Engineering from Bengaluru University, Belagavi, India. He is a member of ACM. He has 4 years of teaching experience at both UG and PG level. His research interests include BlockChain Technology, Cyber Security, Wireless Sensor Network, Ad-hoc networks, IOT, Data Mining, Cloud Computing and Machine Learning. He has published more research papers including SCI publications. He has Edited books at reputed publishing houses.