Prediction Model of the Burkholderia glumae Pest in Rice Crops Using Machine Learning and Spatial Interpolation

Perez-Suarez, Joel; Saboya Rios, Nemias; Sullon Macalupu, Abel Angel

doi:10.1007/978-981-19-2069-1_47

Prediction Model of the Burkholderia glumae Pest in Rice Crops Using Machine Learning and Spatial Interpolation

Author(s)

Perez-Suarez, Joel

Universidad Peruana Unión

Saboya Rios, Nemias

Universidad Peruana Unión

Sullon Macalupu, Abel Angel

Universidad Peruana Unión

Date Issued

1 de enero de 2022

Type

Book chapter

Series/Report No.

Lecture notes on data engineering and communications technologies

Start Page

681

End Page

694

DOI

10.1007/978-981-19-2069-1_47

ISSN

2367-4512

2367-4520

ISBN

9789811920684

9789811920691

Abstract

In recent years, agriculture, especially rice crops, has been affected by constant climatic changes. Climatic changes cause some pathogens to be favored by altering their products and generating economic losses. The study aimed to develop a machine learning model to...