Transforming Agriculture through AI-Powered Public Infrastructure

This book is organized into a 360° view of Digital Transformations in Agriculture (DTA) and specific AgTech innovations. This book addresses the following: (i) The essential elements of a comprehensive Digital Public Infrastructure for Agriculture (DPIA) required for data sharing among various stakeholders for facilitating AgTech innovations, (ii) How to utilize digital infrastructure to enable better, data-backed decisions on farms and (iii) Leveraging technology to optimize resources in agriculture efficiently. The readers gain a complete, 360° overview of Digital Transformations in Agriculture (DTA), and gain knowledge on how to leverage DPIA to develop AI/ML/CV-powered services.

Presents 360° view of Digital Transformations in Agriculture (DTA) Includes essential elements of a comprehensive Digital Public Infrastructure for Agriculture (DPIA) Serves as a reference for researchers and students

Autorentext

Professor Srikrishnan Divakaran is a computational data scientist with over 25 years of research and teaching experience, complemented by over five years of industry experience in computing and finance with leading international companies. He has taught various courses in Computer Science and related disciplines, such as Combinatorial Optimisation, Bioinformatics/Computational Biology, and Data Science. His research focuses on designing, analysing, and modelling algorithms for optimisation problems with applications in Computational Biology, Combinatorial Optimisation, and Data Science.

Dr. Mehul S. Raval is a leading academic and researcher with more than 27+ years of distinguished experience in higher education, specialising in Electronics and Communication Engineering, Information and Communication Technology, and Computer Science and Engineering. He earned his Bachelor's (Electronics and Telecommunication Engineering, 1996), Master's (Digital Systems, 2002), and Ph.D. (Electronics and Telecommunication Engineering, 2008) from the University of Pune, India. Currently, he serves as a professor at Ahmedabad University. Dr. Raval has held pivotal roles, including an associate dean for Experiential Learning at Ahmedabad University from 2020 to 2024. He was the founding head and professor of the ICT department at the School of Technology, PDPU, Gandhinagar. He has previously served as faculty at SCET, Surat, DA-IICT Gandhinagar, and Ahmedabad University.

Sanjay Chaudhary is a professor and an associate dean at School of Engineering and Applied Science, Ahmedabad University. He was a dean of Students of Ahmedabad University from 2020 to 2022. From 2001 to 2013, he was a professor as well as dean (Academic Programs) at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. His research areas are Cloud Computing, Blockchain Technology, Data Analytics, and ICT Applications in Agriculture and Rural Development. He has authored twelve books and ten book chapters. He has published over a hundred research papers at international conferences, workshops, and journals. He is an active member of the program committees of leading International conferences and workshops and review committees of leading journals. He has received research grants from leading organisations including IBM, Microsoft and the Department of Science and Technology, Govt. of India.

Professor Amit Sheth is an educator, researcher, and entrepreneur. He is the founding director of the university-wide AI Institute at the University of South Carolina. He is a fellow of the IEEE, AAAI, AAAS and ACM, elected for his pioneering and enduring contributions to information integration, distributed workflow processes, semantics, knowledge-enhanced computing, etc. He has co-founded four companies, three of them by licensing his university research outcomes, including the first Semantic Search company in 1999 that pioneered technology similar to what is found today in Google Semantic Search and Knowledge Graph. He is particularly proud of the success of his 45 Ph.D. advisees and postdocs in academia, industry research, and entrepreneurs. He received his B.E. (Hons) from BITS-Pilani, India, and MS and Ph.D. from the Ohio State University, USA.

Mihir Dakwala is a seasoned technology leader with extensive experience in data science, artificial intelligence, and project management. As the Business Unit Head of Agriculture Technology at Amnex Infotechnologies, he has driven scalable technology solutions for the agri-tech sector. Mihir has spearheaded critical projects in data lake development and ITMS solutions, overseeing the successful implementation of advanced AI/ML and GIS systems. With a background in engineering and leadership roles in private and large public enterprises, he leverages his expertise to create impactful business and technology strategies that transform traditional industries.

Inhalt

1. A framework for ml-driven digital transformations in.- 2. Designing Digital Public Infrastructure for Agroecology: Integrating Regenerative Production, Value Chains, and Markets for Ecological Economics.- 3. Building an Eye in the Sky: Earth observation as Digital Public Infrastructure for Indian Agriculture.- 4. Harnessing generative AI and Large Language Models (LLM) for advanced precision agriculture.- 5. Data governance in digital agriculture: challenges, security issues, and framework.- 6. Evolution of Policies on Digital Agriculture in India: A Review.- 7. Enhancing Agri-Tech Adoption in India Through Behavioural Analysis and Machine Learning.- 8. Soil Organic Carbon monitoring using geospatial Public Data Infrastructure in support of climate action and sustainability: Opportunities and Challenges.- 9. Revolutionizing Food Systems: Generative AI in Agriculture and Fisheries.- 10. Sowing the Seeds of Climate Change Adaptive Practices in Agriculture using Generative AI.- 11. Using Deep Learning Neural Networks to Accurately Identify Whitefly and Count Them on Soybean Leaves.