AI and Data Analytics in Precision Agriculture for Sustainable Development: 1215 (Studies in Computational Intelligence, 1215) - Hardcover

Hardcover

ISBN 10: 303193086X ISBN 13: 9783031930867

Publisher: Springer, 2025

Synopsis

This book offers a comprehensive analysis of artificial intelligence (AI) and data analytics in precision agriculture. The integration of technology in agriculture is revolutionizing traditional farming practices, paving the way for sustainability. Precision farming, powered by AI, IoT, and big data, optimizes resource use by enabling real-time monitoring of soil health, weather conditions, and crop growth. Automated irrigation systems and drones reduce water wastage and enhance productivity.

Biotechnology advances, such as genetically modified crops and CRISPR gene editing, improve yield, pest resistance, and climate adaptability. Vertical farming and hydroponics offer space-efficient solutions, minimizing land degradation and water consumption. Robotics and autonomous machinery streamline labor-intensive tasks, reducing reliance on chemical inputs.

Blockchain ensures transparency in the food supply chain, promoting fair trade and reducing food fraud. Renewable energy sources, like solar-powered farms, further lower agriculture’s carbon footprint. By adopting these innovations, farmers can produce more with fewer resources, ensuring food security while preserving the environment.

Embracing technology-driven agriculture is crucial for meeting global food demands sustainably, combating climate change, and fostering economic resilience in farming communities. The future of agriculture lies in intelligent, data-driven, and eco-friendly solutions that balance productivity with environmental stewardship.

About this title

About the Author

Dr. Sita Rani works in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. She earned her Ph.D. in computer science and engineering from I.K. Gujral Punjab Technical University, Kapurthala, Punjab, in 2018.  She completed postdoc from Big Data Mining and Machine Learning Lab, South Ural State University, Russia, from May 2022 to August 2023. She has also completed post graduate certificate program in data science and machine learning from Indian Institute of Technology, Roorkee, in 2023. She has more than 20 years of academic and research experience during which she has worked at various designations like HoD, Training and Placement Officer, and Deputy Dean Research.  She is Active Member of ISTE, IEEE, and IAEngg.  She has been recognized in the top 2% scientists list published by Stanford University for the year 2024.  She is Receiver of ISTE Section Best Teacher Award- 2020.

Dr. Soumi Dutta is Associate Professor at Sister Nivedita University, India. She has completed her Ph.D. (CST), IIEST, Shibpur. She received her B.Tech. (IT) and M.Tech. (CSE) securing 1st position (Gold medallist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020, and Certified Microsoft Innovative Educator, 2020. Her research interests are data mining, information retrieval, online social media analysis, and image processing. She has published 51 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. She has 17 books in Palgrave Macmillan, Springer, IET, and IGI Global. She is Peer Reviewer and TPC Member in different international journals. She was Editor in CIPR 2020, CIPR2019, IEMIS 2020, CIIR 2021, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023 and special issues in IJWLTT. She has published 7 patents and 1 Copyright. She has one authored book in Elsevier. 

Dr. Álvaro Rocha holds the title of Honorary Professor. He is Professor of information systems at the University of Lisbon—ISEG, Researcher at the ADVANCE (the ISEG Centre for Advanced Research in Management), and Collaborator Researcher at both LIACC (Laboratory of Artificial Intelligence and Computer Science) and CINTESIS (Center for Research in Health Technologies and Information Systems). His main research interests are maturity models, information systems quality, online service quality, requirements engineering, intelligent information systems, e-Government, e-Health, and information technology in education. He is also Vice-Chair of the IEEE Portugal Section Systems, Man, and Cybernetics Society Chapter and Founder and Editor-in-Chief of both following Scopus and/or WoS journals. Moreover, he has served as Vice-Chair of Experts for the European Commission’s Horizon 2020 Program. In Google Scholar, he has an H5-Index = 36, having 5965 citations. He has 197 of his publications indexed in the Web of Science database (Core Collection).

Dr. Korhan Cengiz, Assoc. Prof., was born in Edirne, Turkey, in 1986. He received the B.Sc. degrees in electronics and communication engineering from Kocaeli University and business administration from Anadolu University, Turkey, in 2008 and 2009, respectively. He took his M.Sc. degree in electronics and communication engineering from Namik Kemal University, Turkey, in 2011, and the Ph.D. degree in electronics engineering from Kadir Has University, Turkey, in 2016. Since October 2023, he is at the world top 2% scientist list. Since March 2023, he has been Senior Researcher in the Department of Information Technologies, University of Hradec Kralove, Kralove, Czech Republic. Since September 2022, he has been Associate Professor in the Department of Computer Engineering, Istinye University, Istanbul, Turkey. Since April 2022, he has been Chair of the research committee of University of Fujairah, United Arab Emirates. He is Editor of more than 20 books.

From the Back Cover

This book offers a comprehensive analysis of artificial intelligence (AI) and data analytics in precision agriculture. The integration of technology in agriculture is revolutionizing traditional farming practices, paving the way for sustainability. Precision farming, powered by AI, IoT, and big data, optimizes resource use by enabling real-time monitoring of soil health, weather conditions, and crop growth. Automated irrigation systems and drones reduce water wastage and enhance productivity.

Biotechnology advances, such as genetically modified crops and CRISPR gene editing, improve yield, pest resistance, and climate adaptability. Vertical farming and hydroponics offer space-efficient solutions, minimizing land degradation and water consumption. Robotics and autonomous machinery streamline labor-intensive tasks, reducing reliance on chemical inputs.

Blockchain ensures transparency in the food supply chain, promoting fair trade and reducing food fraud. Renewable energy sources, like solar-powered farms, further lower agriculture’s carbon footprint. By adopting these innovations, farmers can produce more with fewer resources, ensuring food security while preserving the environment.

Embracing technology-driven agriculture is crucial for meeting global food demands sustainably, combating climate change, and fostering economic resilience in farming communities. The future of agriculture lies in intelligent, data-driven, and eco-friendly solutions that balance productivity with environmental stewardship.

Edition details

• Publisher: Springer
• Publication date: 2025
• Language: English
• ISBN 10: 303193086X
• ISBN 13: 9783031930867
• Binding: Hardcover
• Number of pages: 365
• Editor: Rani Sita, Dutta Soumi, Rocha Álvaro, Cengiz Korhan