Agriculture 5.0: Artificial Intelligence, IoT and Machine Learning
Autor Latief Ahmad, Firasath Nabien Limba Engleză Hardback – 25 mar 2021
This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV’s or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA.
Features:
- Detailed description of the latest tools and technologies available for the Agriculture 5.0.
- Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming.
- Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming.
- Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production.
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Specificații
ISBN-13: 9780367646080
ISBN-10: 0367646080
Pagini: 242
Ilustrații: 18 Tables, black and white; 21 Illustrations, color; 36 Illustrations, black and white
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.53 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 0367646080
Pagini: 242
Ilustrații: 18 Tables, black and white; 21 Illustrations, color; 36 Illustrations, black and white
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.53 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Postgraduate and ProfessionalCuprins
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
Notă biografică
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.
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.
Descriere
Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming.