Digital Ecosystem for Innovation in Agriculture

A Brief Review of Tools to Promote Transdisciplinary Collaboration for Addressing Climate Change Challenges in Agriculture by Model Coupling.- Machine Learning and Deep Learning in Agriculture - A review.- Need of orchestration platform to unlock the potential of remote sensing data.- An Algorithmic Framework for fusing images from satellites, Unmanned Aerial Vehicles (UAV), and Farm Internet of Things (IoT) Sensors.- Globally Scalable and Locally Adaptable Satellite Solutions for Agriculture.- A Theoretical Framework of Agricultural Knowledge Management Process in the Indian Agriculture Context.- Simple and innovative methods to estimate gross primary production and transpiration of crops: a review.- Role of Virtual Plants in Digital Agriculture.- Remote sensing for mango and rubber mapping and characterisation for carbon stock estimation- Case study of Malihabad tahsil (UP) and West Tripura District, India.- Impact of Vegetation Indices on Wheat Yield Prediction using Spatio-TemporalModeling.- Farm-wise estimation of crop water requirement of major crops using deep learning architecture.- Hyperspectral Remote Sensing for Agriculture Land Use and Land Cover Classification.- Computer Vision Approaches for Plant Phenotypic Parameter Determination.

Sanjay Chaudhary, Ph.D., is Dean of Students at Ahmedabad University as well as Professor and Associate Dean of School of Engineering and Applied Science of Ahmedabad University. During 2001 to 2013, he was Professor as well as Dean (Academic Programs) at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. His research areas are cloud computing, blockchain technology, big data analytics, and ICT applications in agriculture and rural development. He has authored nine books and nine book chapters. He has published more than 150 research papers in international conferences, workshops, and journals. He has received research grants from leading organizations including IBM, Microsoft, and Department of Science and Technology, Govt. of India. Seven Ph.D. candidates have completed their Ph.D. successfully under his supervision. He holds a doctorate degree in computer science from Gujarat Vidyapith. His literary articles are publishedregularly in leading Gujarati magazines.  Chandrashekhar M. Biradar, Ph.D., is Country Director, CIFOR-ICRAF-India with Asia Continental Program; and Chief of Party (CoP, TOFI Program-Trees outside Forests in India). Dr. Biradar is Landscape Ecologist with broad experience in executing agroecosystem research and outreach across the diverse landscapes in Asia, Africa, and the Americas. Dr. Biradar has a multidisciplinary educational background, with B.Sc. in Forestry; M.Sc. Forestry (Tree Improvement and Genetic Resources, specialization in Agroforestry), and a Ph.D. in Environmental Sciences and Earth Observation Systems (with a focus on forest ecology, biodiversity, and geoinformatics). His core expertise focuses on digital augmentation, geoinformatics, and regenerative agroecosystems. Before joining CIFOR-ICRFA, he worked with ICARDA, the University of New Hampshire, the University of Oklahoma, IWMI, and the IIRS-ISRO. Dr. Biradar has over 25 years ofexperience serving as Researcher,