Computational Techniques in Precision Agriculture

Part I: Exploring Precision Agriculture. 1. Precision Agriculture: Leveraging Technology for Efficient Farming. 2. Automated Irrigation Systems Using IoT and AI: A Smart Solution for Water Conservation. 3. Drones in Precision Agriculture: Aerial Imaging and Real-Time Data Analytics for Sustainable Farming. 4. Integrating AI and IoT in Precision Agriculture: A Pathway to Smart Farming. 5. Remote Sensing and GIS for Precision Agriculture: Enhancing Crop Monitoring and Yield Prediction. Part II: Precision Agriculture and Machine Learning. 6. Precision Agriculture Meets Machine Learning: Predicting Crop Yield Using Random Forest Regression. 7. Optimizing Crop Classification Using K-Nearest Neighbours: A Data-Driven Approach Based on Climatic and Agricultural Factors. 8. The Role of Machine Learning in Precision Agriculture: Optimizing Resource Use and Productivity. 9. Predictive Crop Yield Analysis based on Weather and Soil Data for Agriculture Optimization. 10. Precision Agriculture in India: Evaluating the Role of Environmental Factors in Crop Selection Using Machine Learning. 11. The Impact of Precision Agriculture on Agricultural Exports: A BRICS Panel Data Analysis. Part III: Precision Agriculture, Technology, Integration and Food Security. 12. Blockchain for Precision Agriculture: Enhancing Transparency and Traceability in Agri-Supply Chains. 13. Blockchain-Powered IOT for Real Time Agriculture Monitoring and Prediction. 14. Big Data Analytics in Precision Agriculture: Improving Decision-Making for Farm Management. 15. Climate-Smart Agriculture: Leveraging Precision Farming Technologies for Sustainable Food Security. 16. The Impact of Variable Rate Technology (VRT) on Soil Health and Crop Yield Optimization. Part IV: Precision Agriculture: Future Direction. 17. Advancing Agricultural Efficiency: An Exploration of Smart Predicting Crop Practices. 18. Digital Innovations in Agriculture: The Socio-Economic Impact of Smart Farming and Renewable Energy Integration. 19. Edge Computing for Real-Time Precision Agriculture Applications: Challenges and Opportunities. 20. Precision Agriculture as a Tool for Solving Major Global and Regional Problems. 21. Smart Soil Systems: Bridging Soil Classification, Precision Farming, and Digital Agriculture in India. 22. Planting the Future: Traversing the Digital Landscape of Intelligent Farming.

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• Fabricação auxiliada por computador
• Inteligência artificial
• Produção de Agronomia e cultura
• Tecnologia da informação: aspectos gerais

remote sensing applications;crop yield prediction;machine learning agriculture;unmanned aerial vehicles;environmental engineering methods;blockchain supply chain agriculture;edge computing smart farming