Article

Boosting algorithms for prediction in agriculture: an application of feature importance and feature selection boosting algorithms for prediction crop damage.

2021-01-01

Abstract excerpt

The Agriculture sector has created and collected large amounts of data. It can be gathered, stored, and analyzed to assist in decision making generating competitive value, and the use of Machine Learning techniques has been very effective for this market. In this work, a Machine Learning study was carried out using supervised classification models based on boosting to predict disease in a crop, thus identifying th...

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Literature Corpus work: 117270cd-27f2-52c7-b62e-d3dfa9e15f41
DOI: 10.31220/agrirxiv.2021.00092

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