Titlebook: Data Science in Agriculture and Natural Resource Management; G. P. Obi Reddy,Mehul S. Raval,Sanjay Chaudhary Book 2022 The Editor(s) (if a

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An Architecture for Quality Centric Crop Production Systemtes which are required by the specific consumer. The recommendations can be generated by using the endogenous and exogenous data captured through IoT sensors and AI modeling. The architecture is generic and solutions can be designed to work for a range of foods/crops. The architecture is designed to

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Machine Learning Approaches and Sentinel-2 Data in Crop Type Mapping the year 2018–19 (. season) was carried for Jhansi District using supervised classifiers like Random Forest (RF), Support Vector Machine (SVM) and Classification and Regression Trees (CART) in GEE platform and also with SMT with the help of ground data. It was attained nearly 81.8% accuracy for RF,

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Machine Learning Algorithms for Optical Remote Sensing Data Classification and Analysisasses, the clustering algorithms to group the objects into classes based on a given set of input variables, the regression algorithms to forecast a response variable from a given a set of covariates, and the dimensionality reduction algorithms to build a small set of new variables that includes most

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Geo-Big Data in Digital Augmentation and Accelerating Sustainable Agroecosystemscussed ongoing digital augmentation efforts for accelerating agroecological transition through sustainable intensification of rice fallows in India. Systematic characterization of these rice fallows can be sustainably intensified to grow short-duration legume crops, vegetables and oilseeds between t

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Transforming Soil Paradigms with Machine Learningital Soil Mapping (DSM), ML integrated with spectroscopic soil studies is gaining momentum among the scientific communities. These innovative approaches have the capabilities to solve global issues like desertification, ecological stability, carbon pool management and climate mitigation in a holisti

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Geoportal Platforms for Sustainable Management of Natural Resourcesey and Land Use Planning (NBSS&LUP) has developed Bhoomi geoportal as a robust platform to provide various thematic services on land and allied resources as Web Map Service (WMS) to access, query, visualize, and disseminate the information to the users. Bhoomi geoportal offers various WMS on terrain

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Studies in Computational Intelligence use case of crop yield maximization, and through the applications of Deep Reinforcement Learning (Deep RL), showcase approaches for solving two important problems using Deep RL. Further, we showcase how these solutions can be deployed on production-ready cloud infrastructure, thus making our solutions more practical and scalable.