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Predicting Pest and Disease Occurrence Using Synthetic Data and Explainable Machine Learning Methods

2026-03-03

Abstract excerpt

<title>Abstract</title> <p>Prediction of occurrence for pests and diseases is an essential problem for agriculture, as such events have a huge influence on the productivity of the crop with regard to the security of food production. Traditional methods lack datasets and tend not to incorporate domain knowledge, which leads to suboptimal performance with limited sets of interpretation. This study addresses such ga...

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Literature Corpus work
5e0fe3e3-7d1d-5a29-9fc9-f90f7c816052
DOI
10.21203/rs.3.rs-8999979/v1
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Predicting Pest and Disease Occurrence Using Synthetic Data and Explainable Machine Learning MethodsDOI 10.21203/rs.3.rs-8999979/v1
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