Big Data Analytics in Agriculture: Algorithms and Applications - Softcover

Softcover

ISBN 10: 0323999328 ISBN 13: 9780323999328

Publisher: Academic Press, 2025

Synopsis

Big Data Analytics in Agriculture: Algorithms and Applications focuses on quantitative and qualitative assessment using state-of-the-art technology to provide practical improvements to agricultural production. The book provides a complete mapping―from data generation to storage to curation, processing and implementation/application―to produce high-quality reliable information for decision-making. It follows a logical pathway to demonstrate how data contributes to a converging flow of information towards a decision support system and how it can be transformed into actionable steps.

The book develops ideas surrounding a strong integration of ICT and IoT to manage rural assets to deliver improved economic and environmental performance in a spatially and temporarily variable environment.

• Examines core research issues from different perspectives, such as storage, handling, management, processing and applications within an agricultural framework
• Offers novel research and applications along with computational tools and techniques in development
• Develops a strong integration of ICT and IoT for managing rural assets to deliver improved economic and environmental performance

About this title

About the Authors

Prashant K. Srivastava is working at IESD, Banaras Hindu University, as a faculty and was affiliated with Hydrological Sciences, NASA Goddard Space Flight Center, as research scientist on SMAP satellite soil mois ture retrieval algorithm development, instrumentation, and simulation for various applications. He received his PhD degree from the Department of Civil Engineering, University of Bristol, Bristol, United Kingdom. Prashant was the recipient of several awards such as NASA Fellowship, USA; University of Maryland Fellowship, USA; Commonwealth Fellowship, UK; Early Career Research Award (ECRA, DST, India), CSIR, as well as UGC JRF-NET (2005, 2006). He is leading a number of projects funded from reputed agencies in India as well as world. He was also a collaborator with NASA JPL on SMAP soil mois ture calibration and validation as well as Scatsat-1, NISAR, AVIRIS-NG missions of India. Prashant made more than 200+ publications in peer-reviewed journals and published 14 books with reputed publishing house such as Springer, Taylor and Francis, AGU-Wiley, and Elsevier, and several book chapters with good cita tion index. He presented his work in several conferences and workshops and is acting as a convener for the last few years in EGU, Hydroinformatics (HIC), and other conferences. He is also acting as Regional Editor Asia-Geocarto International (T & F), Associate Editor-Journal of Hydrology (Elsevier), GIScience and Remote Sensing (T & F), Remote Sensing Applications: Society and Environment (Elsevier), Sustainable Environment (T & F), Water Resources Management (Springer), Frontiers Remote Sensing, Associate Editor- Remote Sensing-MDPI, Associate Editor- Environment, Development and Sustainability (Springer), Environmental Processes (Springer), Bull of Env and Sci Res.

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 £150 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.

Biswajeet Pradhan is a distinguished professor at UTS School of Civil and Environmental Engineering. He is an international expert in data-driven modelling and a pioneer in combining spatial modelling with statistical and machine learning models for natural hazard predictions including landslides. He has a track record of outstanding research outputs, with over 600 journal articles. He is a highly interdisciplinary researcher with publications across 12 areas, listed as having ‘Excellent’ international collaboration status. He has been a Highly Cited Researcher for five consecutive years (2016-2020) and ranks fifth in the field of Geological & Geoenvironmental Engineering.

Manish K Pandey works in the Remote Sensing Laboratory at Banaras Hindu University in Varanasi, India.

From the Back Cover

Big Data Analytics: Algorithms and Applications in Agriculture focuses on quantitative and qualitative assessment using state-of-the-art technology to provide practical improvements to agricultural production. Exploring the challenge, book provides a complete mapping from data generation to storage to curation, processing and implementation/application produce high-quality and reliable information for decision-making. The book follows a logical pathway to demonstrate how data contribute to a converging flow of information towards a decision support system and how it can be transformed into actionable steps, round concepts of intelligent, fast, technologically, economically, politically and culturally sustainable practices and systems. The book further develops ideas surrounding a strong integration of ICT and IoT to manage rural assets to deliver improved economic and environmental performance in a spatially and temporarily variable environment. Topics addressed include Data-driven Smart farming through IoE, UAV to Smart and Precise irrigation to disease and pest control to microclimatic forecasting to preventive fertigation and chemigation, supply chain analytics to efficient farm analytics.There is an unprecedented data growth due to convergence of social, mobility, analytics and cloud-based applications where every major field of science, agriculture, engineering, is generating and processing extremely large sets of raw data which is impossible to be processed by traditional algorithms and applications. This source of data needs to be identified, transformed and analyzed to unearth hidden insights that could resolve many unsolved problems. Big Data Analytics: Algorithms and Applications examines and addresses core research issues from different perspectives such as storage, handling, management, processing, and applications.

Edition details

• Publisher: Academic Press
• Publication date: 2025
• Language: English
• ISBN 10: 0323999328
• ISBN 13: 9780323999328
• Binding: Paperback
• Edition number: 1
• Number of pages: 350
• Editor: Srivastava Prashant K., Kumar Mall Rajesh, Pradhan PhD Biswajeet, Pandey Manish K.