Harnessing Data Science for Sustainable Agriculture and Natural Resource Management
portes grátis
Harnessing Data Science for Sustainable Agriculture and Natural Resource Management
Raval, Mehul S.; Guo, Wei; Chaudhary, Sanjay; Adinarayana, J.
Springer Verlag, Singapore
01/2025
348
Dura
9789819777617
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Introduction to Data Science in Agriculture and Natural Resource Management.- Defining Problems and Identifying Opportunities in Agriculture and Natural Resources.- Preprocessing of Agricultural and Natural Resource Data.- A Robust big data handling solution for RGB image data set by indoor UAV based phenotyping system.- Mapping Aboveground Biomass and Soil Organic Carbon Density in India- A geospatial-analytic framework for Integrating multi-year remote sensing, large field surveys, and machine learning.- Statistical Modeling in Agriculture: From Foundational Concepts to Modern Applications.- EasyIDP v2.0: An Intermediate Data Processing Package for Photogrammetry-Based Plant Phenotyping.- Deep Learning: A Catalyst for Sustainable Agriculture Transformation.- Deep Learning and Reinforcement Learning Methods for Advancing Sustainable Agricultural and Natural Resource Management.- A Review on AI and Remote Sensing-Based Regenerative Agriculture Assessment.- Model Evaluation and Selection: Ensuring Robust and Accurate Predictions of Crop Yields in Agriculture.- Evaluation of hybrid biodegradable sensor node for monitoring soil moisture.- Multi-modal AI for Ultra-precision Agriculture.- Future Perspectives: Emerging Technologies and Ethical Considerations in Data Science for Agriculture and Natural Resources.
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Data Science;Precision Agriculture;Natural Resources Management;Sustainable Development Goals;Machine Learning;Model Building;Model Deployment
Introduction to Data Science in Agriculture and Natural Resource Management.- Defining Problems and Identifying Opportunities in Agriculture and Natural Resources.- Preprocessing of Agricultural and Natural Resource Data.- A Robust big data handling solution for RGB image data set by indoor UAV based phenotyping system.- Mapping Aboveground Biomass and Soil Organic Carbon Density in India- A geospatial-analytic framework for Integrating multi-year remote sensing, large field surveys, and machine learning.- Statistical Modeling in Agriculture: From Foundational Concepts to Modern Applications.- EasyIDP v2.0: An Intermediate Data Processing Package for Photogrammetry-Based Plant Phenotyping.- Deep Learning: A Catalyst for Sustainable Agriculture Transformation.- Deep Learning and Reinforcement Learning Methods for Advancing Sustainable Agricultural and Natural Resource Management.- A Review on AI and Remote Sensing-Based Regenerative Agriculture Assessment.- Model Evaluation and Selection: Ensuring Robust and Accurate Predictions of Crop Yields in Agriculture.- Evaluation of hybrid biodegradable sensor node for monitoring soil moisture.- Multi-modal AI for Ultra-precision Agriculture.- Future Perspectives: Emerging Technologies and Ethical Considerations in Data Science for Agriculture and Natural Resources.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
