DOI：10.31220/agriRxiv.2021.00069

Computational prediction model for pepper yield prediction using support vector regression.

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  Abstract: Abstract The yield prediction is the one of the challenging problem in agriculture. Here in this research work we have predicted the yield of Pepper in the state of Kerala, India. With the help of Machine Learning and by considering the soil properties, micro climatic condition and area of the Pepper we have predicted the yield. Here we have used Linear Regression and Support Vector Regression algorithms in order to predict the pepper yield. Experimental results gave best accuracy of 97.685% for Support Vector Regression.

  Key words: the yield; pepper; pepper yield; predicted; support vector regression; predictio

  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.2021.00069V1	下载

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