The 3D-CNN model helps decision makers to better predict crop price trend, and to develop a strategic plan for selecting trading partners to reduce the cost and for solving food insecurity problem.
The 3D-CNN model helps decision makers to better predict crop price trend, and to develop a strategic plan for selecting trading partners to reduce the cost and ...
Using a novel clustered 3D-CNN model for improving crop future price prediction ... prices using model selection framework with time series features and ...
Using a novel clustered 3D-CNN model for improving crop future price prediction · Liege Cheung, Yun Wang, +1 author. Rogers M.C. Chan · Published in Knowledge- ...
Nov 28, 2023 · Therefore, the aims of this research are to conduct a review to identify a more complete factors that may influence crop production and price ...
In this paper, a new approach is proposed to predict the yield from multispatial images by using the dimension reduction method and a 3D convolutional neural ...
Missing: novel price
Dec 21, 2023 · The major objective of this study was to develope an end-to-end 3D CNN model for plot-scale soybean yield prediction using multitemporal UAV-based RGB images.
Missing: price | Show results with:price
Mar 20, 2024 · The major objective of this study was to develope an end-to-end 3D CNN model for plot-scale soybean yield prediction using multitemporal UAV- ...
Missing: price | Show results with:price
Nov 30, 2021 · The 3D-CNN model helps decision makers to better predict crop price trend, and to develop a strategic plan for selecting trading partners to ...
Abstract—This study introduces an approach for soybean yield prediction by integrating Convolutional Long-Short-. Term Memory (Conv-LSTM), 3D Convolutional ...