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Prediction of Frankliniella occidentalis density using machine learning algorithms in pepper greenhouses
- 언어ENG
- URLhttps://db.koreascholar.com/Article/Detail/431836
초록
A causality exists between insect density and plant health, where plant health is affected by both the plant’s potential and environmental factors. In other words, causality is possible between insect density and environmental factors, allowing for the analysis of insect density based on these environmental factors. Machine learning enables studying insect density alongside environmental factors, providing insights into the causality between insects, the environment, and plant health. Machine learning is a methodology that involves the design of models by learning patterns from input data. This study aims to predict F. occidentalis density by sampling environmental factors and applying them to machine learning models.
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