Web1 de fev. de 2024 · May 2024 · International Journal of Innovative Technology and Exploring Engineering. In-season crop yield estimation has various applications such as the farmer taking corrective measures to ... WebThe generally high yields obtained in temperate regions (record yields can go up to 14-15 t ha-1) is mainly due to low night temperature, especially at the reproductive stage.We cannot modify the climatic regime and certain biophysical factors, but we can certainly improve the crop management of and technical support to rice farmers to improve rice productivity in …
How Can AI In The Precision Agriculture Increase Crop Yield
Web20 de jun. de 2024 · This Special Issue aims to discuss various yield prediction methods, the adaptation of big data, and the use of interseason databases from different platforms in crop yield forecast. Studies focused on applications regarding prediction methods, data fusion, and the adaptation of big data are invited for submission. Prof. Dr. Miklós Neményi. Web12 de abr. de 2024 · Chief among these strategies: effective irrigation management. It’s perhaps the most consistently effective way to address fertilizer costs because of the amount of control you can have over it. The right irrigation methods, systems, timing and technology can help growers maximize yields and minimize the need for fertilization. i only knew two words of chinese
From fields to screens: KissanGPT, the AI chatbot helping Indian
Web19 de fev. de 2024 · Rajak RK, Pawar A, Pendke M, Shinde P, Rathod S, Devare A (2024) Crop recommendation system to maximize crop yield using machine learning technique. Int Res J Eng Technol 4(12):950–953. Google Scholar Veenadhari S, Misra B, Singh CD (2014) Machine learning approach for forecasting crop yield based on climatic parameters. Web22 de jan. de 2024 · Various crop simulation and yield estimation models have been used and produced reasonable crop yield estimations (Filippi et al. 2024; van Klompenburg, Kassahun, and Catal 2024 ). Artificial Intelligence (AI) can be used to make better crop yield estimations based on the aforementioned factors (Kim et al. 2024 ). Web21 de out. de 2024 · Remote sensing is a dynamic monitoring yield estimation technique used in diverse types of crops which can estimate crop yields on a large scale and provide relevant results. It is an important tool for generating agricultural statistics because of the synoptic view and online information provided in a short period of time which can be … ontheblock.pt