In this paper, we design and implement the crop cultivation support application for farmers based on crop yield prediction in drylands, verify its operation, ...
In this paper, we design and implement the crop cultivation support application for farmers based on crop yield prediction in drylands, verify its operation, ...
Mar 28, 2024 · It necessary information to identify specific factors which closely affects to difference production of sweet potato in this study are widely ...
support application for farmers based on crop yield prediction in drylands, verify its operation, and discuss its usefulness. Index Terms—mobile sensing ...
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Aug 31, 2022 · The aim of this study is to develop an effective model for predicting crop yields in advance that is accessible and easy to use by the farmer or ...
Concerning the first limitation, we analyzed the differences between CFS-predicted yields and reported yields collected by Post Harvest Surveys, and found that ...
Jan 18, 2022 · The proposed four-step framework for enhancing crop yield predictions based on VCI/TCI indices, sICA, and PCA coupled with ML methods is ...
Agriculture will have to be developed with sustainability built-in from the start. One of the important subjects in agriculture is crop yield forecasting. It's ...
Missing: Drylands. | Show results with:Drylands.
This study improved the accuracy of dryland wheat yield prediction in Gansu Province and provides technical support for the intelligent production of dryland ...
In this work, we propose three crop prediction models : Crop Random Forest, Crop Gradient Boosting Machine and Crop Support Vector Machine. We combine climate ...