Digital Ecosystem for Innovation in Agriculture (Paperback, 2023)

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.