DOI：10.31220/agriRxiv.2021.00072

Decision tree classification of digital soil, weather, crop mapping and yield prediction using linear regression with region influences.

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  Abstract: Abstract This project deals with the study of soil properties, crop and the regional influences along with their dependencies which would be further used for a digital map. Both classification and regression algorithms were carried out and a decision tree as well as a decision regressor tree was plotted to finalise the results. Out of the 6 classification algorithms applied decision tree gave the highest accuracy of 95.24% and linear regression gave the best accurate results of 100% among the 3 regression algorithms.

  Key words: linear regression; decision tree; the results; algorithms; accurate; plotte

  提交时间：2021-01-01

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• 序号	提交日期	编号	操作
  1	2021-01-01	10.31220/agriRxiv.2021.00072V1	下载

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