Data Science in Agriculture and Natural Resource Management

Data Science: Principles and Concepts in Data Analysis and Modelling.- Data Science: Tools, Techniques and Potential Applications in Earth Observation Studies.- Data Science in Agriculture and Natural Resource Management: An Overview.- Applications of Reinforcement Learning and Recurrent Neural Network Based Deep Learning Frameworks in Agriculture.- Precision Farming Using Emerging Technologies.- An Architecture for Quality Centric Crop Production.- Integrating UAV and Field Sensor Data for Better Decision Making in Broadacre Cropping Systems.- Object Based Crop Classification for Precision Farming.- Disruptive Innovations in Precision Agriculture - Towards BD Analytics for Better GeoFarmatics.- A Paradigm-shift in Global Cropland Maps and Products for Food and Water Security in the Twenty-first Century: Petabyte Scale Satellite Big-data Analytics, Machine Learning, and Cloud Computing.- Big Data Analytics for Climate Resilient Supply Chains: Opportunities and Way Forward.- Mapping Croplands Using Machine Learning Algorithms and Spectral Matching Techniques.- Applications of Computer Vision in Precision Agriculture.- Innovative Geoportal Platforms for Sustainable Management of Natural Resources.

G.P. Obi Reddy holds Ph.D. and is working as Principal Scientist in the field of remote sensing and GIS applications at Division of Remote Sensing Applications, ICAR-National Bureau of Soil Survey and Land Use Planning, Nagpur, India. He has significantly contributed in the field of remote sensing along with GIS applications in digital terrain modelling, landforms mapping, soil-landscape modelling, land degradation assessment, agro-ecology and development of soil information systems. He is instrumental in the design and development of the Land Resource Information System (LRIS) of India and BHOOMI Geoportal. On ICAR deputation, he visited Sri Lanka, The Netherlands, Nepal and South Africa. He has published 102 research articles in reputed national/international journals, 4 books, 49 book chapters and 10 technical bulletins. Currently he is acting as a Chairman, Data Content Standards of DST-NSDI and Member, ISO/TC 211/WG 04 "Geospatial Services". He is Recipient of Indian National Geospatial Award-2007 and National Geospatial Award for Excellence-2013 from Indian Society of Remote Sensing, Dehradun, Outstanding Scientist Award-2016-17 from ICAR-NBSS&LUP, Nagpur and Fellow of Indian Society of Soil Survey Land Use Planning, Nagpur.

Mehul S Raval holds Ph.D. and is Associate Dean-Experiential Learning and Professor at Ahmedabad University, India. His research interest includes computer vision, and he has contributed to problems in surveillance, medical imaging, biometrics and agriculture.  His academic pursuits involve visits to under Sakura Science Fellowship (2015) to Okayama University, Japan, Argosy visiting Associate Professor at Olin College of Engineering, MA, the USA (2016), and Sacred Heart University, the USA (2019). He serves as Member, technical program committee, for leading national and international conferences, workshops and symposiums. Currently, he chairs IEEE Computational Intelligence Society-Gujarat Chapter and