Data Science in Agriculture and Natural Resource Management

Data Science in Agriculture and Natural Resource Management

Reddy, G. P. Obi; Adinarayana, J.; Raval, Mehul S.; Chaudhary, Sanjay

Springer Verlag, Singapore

10/2022

316

Mole

Inglês

9789811658495

15 a 20 dias

Descrição não disponível.
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.
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Precision Farming;Cloud Computing;Computer Vision;Deep Learning;Disruptive Innovations;Big Data Analytics;Geoportal Platforms;Artificial Intelligence;Data Science