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Author:   Prashant K. Srivastava (working at IESD, Banaras Hindu University as a faculty and is also a visiting scholar with the Hydrological Sciences division at NASA Goddard Space Flight Center.) ,  Rajesh Kumar Mall (Dean and Head of the Institute of Environment & Sustainable Development, Banaras Hindu University) ,  Biswajeet Pradhan (Distinguished Professor, Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), University of Technology Sydney, Sydney, New South Wales, Australia) ,  Manish K Pandey (Remote Sensing Laboratory, Banaras Hindu University, Varanasi, India)
Publisher:   Elsevier Science & Technology
Imprint:   Academic Press Inc
ISBN:  

9780323999328

ISBN 10:   0323999328
Pages:   350
Publication Date:   01 February 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

Section 1: Introduction to Big Data Analytics in Agriculture 1. Introduction to Traditional Data Analytics 2. Introduction to Big Data and Big Data Analytics Section II: Big Data Management and Processing 3. The efficient management of Big Data from Scalability and Cost Evaluation Perspective 4. The Approaches for the Big Data Processing: Applications and Challenges Section III: Big Data Analytics Algorithms 5. Big Data Mining in real-time scenarios with limited resources and computational power 6. Big Data Analytics techniques comprising descriptive, predictive, prescriptive and preventive analytics with an emphasis on feature engineering and model fitting Section IV: Big Data Applications 7. IoT foundations in Precision Agriculture and its Application. 8. Practical applications of Big Data-driven Smart farming 9. Practical applications of Smart & Precise irrigation 10. Weed or Disease Detection using AI/ML/Deep Learning techniques 11. Nutrient Stress Detection using AI/ML/Deep Learning techniques 12. Leaf Disease Detection using AI/ML/Deep Learning techniques 13. Efficient soil water management using AI/ML 14. Microclimatic Forecasting using AI/ML/Deep Learning techniques 15. AI/ML/Deep Learning techniques in precipitation forecast 16. Yield Prediction using AI/ML/Deep Learning techniques 17. Practical applications of Supply Chain Analytics in Agriculture 18. Efficient Farm Analytics using AI/ML/Deep Learning techniques Section V: Challenges and prospects 19. Challenges and future pathway for big data analytics algorithms and applications in Agriculture

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Prashant Kumar Srivastava is working at IESD, Banaras Hindu University as a faculty and is also a visiting scholar with the Hydrological Sciences division at NASA Goddard Space Flight Center. He received his doctoral degree from the Department of Civil Engineering, University of Bristol, Bristol, UK. He received several awards such as NASA Fellowship, University of Maryland Fellowship, Commonwealth Fellowship, Early Career Research Award (ECRA, DST, India), CSIR as well as UGC- JRF-NET (2005, 2006). He is leading number of projects funded from reputed agencies in India as well as world. He is also a collaborator with NASA JPL on SMAP soil moisture calibration and validation as well as Scatsat-1, NISAR, AVIRIS-NG missions of India. He has published 130+ peer-reviewed journals and seven books. He is also acting as Associate Editor of Journal of Hydrology, Hydrological Sciences Journal, Remote Sensing (MDPI), Journal of Earth System Science, Environment Development and Sustainability, Environmental Processes, Cogent Environmental Sciences, Co-editor-in-Chief Bulletin of Environmental and Scientific Research and Guest Editor of Physics and Chemistry of the Earth, IJSLUP and JSRS. Professor R. K. Mall is Dean and Head of the Institute of Environment & Sustainable Development, Banaras Hindu University. Prof Mall received his Ph.D. in Geophysics from Banaras Hindu University. With about thirty years of professional experience, he has gained extensive knowledge in the field of research and academia, administration, and managerial capacity in the fields of simulation modelling, climate change / disaster risk management and related issues, sustainable development and poverty alleviation, agro-advisory services for farmers. Prof. Mall has been the principal investigator of various projects with a combined total grant exceeding GBP150 million. As a major milestone Prof. Mall has established the DST-Mahamana Centre of Excellence in Climate Change Research at BHU under Prime Minister's National Action Plan on Climate Change in 2017. As of now, Prof. Mall has visited more than 25 countries for various international conferences, seminars, training and international collaborations and received several awards and recognitions worldwide. He has conferred several awards such as Senior & Regular Associateship of ICTP-Italy, TWAS-CAS fellow (2006), Visiting Scientist/Professor at ANU-Australia, GMU-USA, Purdue-USA & ICTP-Italy etc. Prof. Mall has published over 100 research papers, 17 books, and various book chapters, and supervised over 8 Ph.D. students. He has developed robust models based on social, economic, and environmental vulnerability of India and the South Asia region, found to be immensely applicable for regional and sub regional planning (UNDRR, SAARC-Disaster Management Centre, UNDP, World Bank, IMD, CGWB etc.). He also serves as consultant and policy adviser for various State Government, Central Government Departments as well as UN and other international agencies. He has also represented several Government of India delegations in the Asian Ministerial Conference on Disaster Risk Reduction (AMCDRR) and Global Platform on Disaster Risk Reduction (GPDRR) in Indonesia, Switzerland, Thailand, Japan, and India. Distinguished Professor Biswajeet Pradhan (Senior Member, IEEE) is an internationally established Scientist in the fields of climate-induced natural hazards, geospatial information systems (GIS); complex modelling; and spatial data mining. Since 2015, he has been serving as the Ambassador Scientist for the Alexander Humboldt Foundation, Germany. He has published more than 550 articles and has authored/edited eight books and 13 book chapters. He has received 55 awards in recognition of his excellence in teaching, service, and research, since 2006. He was also a recipient of the Alexander von Humboldt Research Fellowship from Germany. From 2016 to 2018, he was listed as the World's Most Highly Cited Researcher by Clarivate Analytics Report as one of the world's most influential mind. He is also an Associate Editor and an Editorial Member of more than eight ISI journals. Manish K Pandey works in the Remote Sensing Laboratory at Banaras Hindu University in Varanasi, India.

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