Description
Taylor and Francis Ltd Artificial Intelligence and Smart Agriculture Applications 1st Edition 2022 Hardbound by Kose, Utku
Discusses the digitalization of agriculture including telematics, precision farming, blockchain, and AI Looks at the impact of AI on sustainable agriculture Presents a multi-layered architecture relevant to security in precision agriculture Covers machine learning architectures for forecasting weather conditions 1. Application of Drone and Sensors in Advanced Farming: The Future Smart Farming Technology. 2. Development and Research of a Greenhouse Monitoring System. 3. A Cloud-Computing Model for Implementing Smart Agriculture. 4. Application of Conversational Artificial Intelligence for Farmer's Advisory and Communication. 5. The Use of an Intelligent Fuzzy Logic Controller to Predict the Global Warming Effect on Agriculture: The Case of Chickpea (Cicer arietinum L.) 6. Using Machine Learning Algorithms for Mapping Soil Macronutrient Elements Variability with Digital Environmental Data in an Alluvial Plain. 7. A Smart IoT Framework for Soil Fertility Enhancement Assisted via Deep Neural Networks. 8. Plant Disease Detection with the Help of Advanced Imaging Sensors. 9. Artificial Intelligence-Aided Phenomics in High throughput Stress Phenotyping of Plants. 10. Plant Disease Detection using Hybrid Deep Learning Architecture in Smart Agriculture Application. 11. Classification of Coffee Leaf Diseases through Image Processing Techniques. 12. The Use of Artificial Intelligence to Model Oil Extraction Yields from Seeds and Nuts. 13. Applications of Artificial Intelligence in Pest Management. 14. Applying Clustering Technique for Rainfall Received by Different District of Maharashtra State. 15. Predicting Rainfall for Aurangabad Division of Maharashtra by Applying Auto-Regressive Moving Average Model (ARIMA) Using Python Programming.