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Data Science in Agriculture and Natural Resource Management
G. P. Obi Reddy
(Illustrated by)
·
Mehul S. Raval
(Illustrated by)
·
J. Adinarayana
(Illustrated by)
·
Springer
· Paperback
Data Science in Agriculture and Natural Resource Management - Reddy, G. P. Obi ; Raval, Mehul S. ; Adinarayana, J.
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Synopsis "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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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