Artificial intelligence and smart agriculture applications
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. -- Theuse of an intelligent fuzzy logic controller to predict the global warming effect on agriculture: the case of the chickpea cicer arietinum L. --6. --Using machine learning algorithms for mapping soil macronutrient elements variability with digital environmental data in an alluvial plain --7. -- Asmart 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. -- Theuse 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.