Latief Ahmad, Firasath Nabi

Agriculture 5.0 (eBook, PDF)

Artificial Intelligence, IoT and Machine Learning

• Format: PDF

Produktbeschreibung

Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 242
• Erscheinungstermin: 24. März 2021
• Englisch
• ISBN-13: 9781000364415
• Artikelnr.: 61089584

Autorenporträt

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.

Inhaltsangabe

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