Machine Learning-Based Hourly Frost-Prediction System Optimized for Orchards Using Automatic Weather Station and Digital Camera Image Data

Machine Learning-Based Hourly Frost-Prediction System Optimized for Orchards Using Automatic Weather Station and Digital Camera Image Data

Spring frosts damage crops that have weakened freezing resistance after germination. We developed a machine learning (ML)-based frost-classification model and optimized it for orchard farming environments. First, logistic regression, decision tree, random forest, and support vector machine models we...

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Bibliographic Details
Main Authors: Ilseok Noh, Hae-Won Doh, Soo-Ock Kim, Su-Hyun Kim, Seoleun Shin, Seung-Jae Lee
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Atmosphere
Subjects:
classification model
frost prediction
image processing
machine learning
orchard
Online Access:https://www.mdpi.com/2073-4433/12/7/846

Internet

https://www.mdpi.com/2073-4433/12/7/846

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