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Agricultural Insights from Space: Machine Learning Applications in Satellite Data Analysis

Agricultural Insights from Space: Machine Learning Applications in Satellite Data Analysis

          
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About the Book

Agricultural Insights from Space: Machine Learning Applications in Satellite Data Analysis

Table of Contents:
1. Overview of Geospatial Technology and Machine Learning in Agriculture 2. Spatial Data Acquisition Methods for Agricultural Monitoring 3. Machine Learning Techniques for Crop Identification and Classification 4. Predictive Modeling and Analysis of Crop Yield and Productivity 5. Integration of Geospatial Technology and Machine Learning for Precision Agriculture 6. Crop Health Monitoring using Geospatial Methods and Deep Learning 7. Integrating Climate Data for Agricultural Resilience using Geospatial Approaches 8. Soil Mapping and Categorization Using Fusion of Satellite Imagery and Machine Learning 9. Geo-artificial Intelligence for Smart Irrigation Management Systems 10. Geospatial-based Mapping and Monitoring of Pest and Disease Outbreaks Utilizing Machine Learning 11. Integration of Geospatial Technology and Machine Learning for Livestock Management 12. Machine Learning and Geospatial Technology for Agroforestry System Mapping 13. Geospatial and Machine Learning-based Mapping and Analysis for Agricultural Sustainability 14. Deep Learning and Geospatial Technology-based Decision Support Systems for Smart Agricultural and Irrigation Applications 15. A Case Study on Lagrange Polynomials and Machine Learning for Yield Prediction 16. Leveraging Deep Learning Ensembles for Rice Disease Classification: A Case Study 17. A Case Study on Optimizing Crop Classification with Machine Learning 18. Synthetic Data Generation Using Microwave Modeling with Efficient Application of Machine Learning for Bare Land Soil Moisture Retrieval: A Case Study


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Product Details
  • ISBN-13: 9780443341137
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 229 mm
  • No of Pages: 486
  • Weight: 770 gr
  • ISBN-10: 0443341133
  • Publisher Date: 12 Nov 2025
  • Binding: Paperback
  • Language: English
  • Sub Title: Machine Learning Applications in Satellite Data Analysis
  • Width: 152 mm


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