Big Data Analytics in Agriculture

• Utgivningsdatum: 2027-02-01
• Mått: 191 x 235 x undefined mm
• Format: Häftad
• Språk: Engelska
• Antal sidor: 350
• Förlag: Elsevier Science
• ISBN: 9780323999328

• Tillämpad datateknik
• Lantbruk, fiske och skogsbruk
• Agronomi och lantbruk
• Databaser

Dr. Manish K. Pandey is an Assistant Professor and Head of the Department of Quantitative Economics & Data Science (QEDS) at Birla Institute of Technology (BIT), Mesra, Ranchi, India. He has more than 18 years of experience spanning academia, research, software industry, and applied data science, with expertise in Artificial Intelligence, Machine Learning, Big Data Analytics, hyperspectral remote sensing, climate and environmental analytics, quantitative modeling, and emerging data-driven technologies. Dr. Pandey received his Ph.D. in Computer Science from Banaras Hindu University (BHU), Varanasi. His research focuses on developing intelligent and scalable data-driven approaches for complex real-world problems, particularly in agriculture, climate and environmental systems, healthcare, finance, and other application domains. His work integrates artificial intelligence, machine learning, remote sensing, geospatial data, optimization, and large-scale analytics to transform heterogeneous data into actionable intelligence. He has led and contributed to research and sponsored projects supported by organizations including SERB, ISRO, I-HUB, ICMR, DST, and industry partners. He is also involved in establishing applied data science and AI research infrastructure at BIT Mesra, including the Digital Innovation Lab, Advanced Data Science Lab, and Applied Data Science Lab.His research and professional interests include AI/ML, agricultural and environmental big data analytics, hyperspectral data analytics, climate intelligence, multimodal AI, quantitative modeling, and intelligent decision-support systems. He is also actively engaged in teaching, research mentoring, industry collaboration, and the development of interdisciplinary data-driven solutions. This background aligns closely with the book's emphasis on the agricultural data lifecycle, big-data processing, AI/ML algorithms, remote sensing, climate analytics, smart farming, and decision-support applications. 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. Professor Pradhan is a globally recognized expert in geospatial analytics and artificial intelligence applications in Earth and environmental sciences. Currently a Distinguished Professor at the University of Technology Sydney (UTS), Australia, he also leads the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS). With a PhD in GIS-based modeling, Prof. Pradhan has over two decades of experience in spatial data science, remote sensing, natural hazard modeling, and environmental monitoring. He has been listed among the world's top 2% scientists by Stanford University and received numerous international awards, including from IEEE and Elsevier. A Fellow of the Royal Geographical Society (FRGS), he also serves on editorial boards of several top-tier journals. His research integrates geospatial AI and deep learning for disaster risk reduction, land use planning, and sustainability.

0 recensioner

Inga recensioner tillgängliga.