1st Edition

Agriculture 5.0 Artificial Intelligence, IoT and Machine Learning

By Latief Ahmad, Firasath Nabi Copyright 2021
242 Pages 21 Color & 36 B/W Illustrations
by CRC Press

242 Pages 21 Color & 36 B/W Illustrations
by CRC Press

Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver... Read more

Chapter 1 Introduction to Precision Agriculture

Chapter 2 Smart Intelligent Precision Agriculture

Chapter 3 Adoption of Wireless Sensor Network (WSN) in

Smart Precision Agriculture

Chapter 4 IoT (Internet of Things) Based Agricultural

Systems

Chapter 5 AI (Artificial Intelligence) Driven Smart Agriculture

Chapter 6 Machine Learning (ML) Driven Agriculture

Chapter 7 Data-Driven Smart Farming

Chapter 8 Decision-Making and Decision-Support Systems

Chapter 9 Agriculture 5.0 – The Future

Chapter 10 Social and Economic Impacts

Chapter 11 Environmental Impact and Regulations

Biography

Dr. Latief Ahmad is working as Scientist at Dryland Agricultural Research Station, Rangreth- Sher-e-Kashmir University of Agricultural Sciences and Technology, Shalimar Kashmir J&K India. He obtained his bachelor’s degree in Agriculture from Faculty of Agricultural Sciences, CCS-SDS College, Aligarh and Master’s and Doctoral Degree in Agronomy from School of Agriculture, Allahabad Agricultural Institute, Naini Allahabad U.P India. The author has published more than 85 research articles in peer-reviewed international and national journals He has authored 2 books, 8 book chapters and 19 extension bulletins. He has attended more than 35 national and international conferences/Training programmes and is a life member of five scientific associations. He has received best research proposal award by SERB-DST. His areas of interest include Agrometeorology, Climate Change studies, Crop simulation modeling, Precision Farming, Water management and Crop Science.

Dr Firasath Nabi is a young researcher who has completed her PhD in Computer Sciences from Baba Ghulam Shah Badshah University, Rajouri J&K India. She has published several research papers in peer-reviewed international journals and conference proceedings. She holds expertise in developing and framing innovative solutions for the farmers with the help of computer-aided tools and techniques especially the use of sensor networks and machine learning for disease detection and monitoring of Fruit Crops. She is an evaluation member for the Innovation Cell of MHRD, India and recipient of national awards from many organizations. Her research interests are Wireless Sensor Network, Machine Learning, Artificial Intelligence and their applicability in Precision Farming.