Analysis of Grain Storage Loss Based on Decision Tree Algorithm
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The paper analyzes and predicts the grain loss caused by different grain storage factors. And the influence of model parameters on model fitting and accuracy is ...
In this paper, the data mining method is used to study the loss of grain storage, and the grain loss analysis and forecasting model based on decision tree ...
PurposeThis study examines the heterogeneous correlations between rural farmers' land renting behavior and their grain production when they experienced a ...
“Analysis of Grain Storage Loss Based on Decision Tree Algorithm” is a paper by Xueli Liu Bingchan Li Dongqin Shen Jie Cao Bo Mao published in 2017. It has an ...
In this paper, the data mining method is used to study the loss of grain storage, and the grain loss analysis and forecasting model based on decision tree ...
In this paper, we use Bias, decision tree and SVM algorithm to solve the problem of grain data classification, and find efficient algorithms through ...
Feb 25, 2023 · A model for predicting and grading the quality of grain storage processes affected by microorganisms under different environments.
Jul 22, 2021 · The goal of this study was to test different model frameworks that estimate dry matter loss of soybeans utilizing data acquired from a dynamic grain ...
Mar 9, 2022 · Grain loss sensing technology is automated, remote, and prospective. It can help reduce grain losses by increasing harvesting precision, reliability, and ...
The aim of this study was to identify the best machine learning model for predicting mechanical damage, vigor and viability of soybean seeds during storage.