Evaluation of Machine Learning Models for Stress Symptom Classification of Cucumber Seedlings Grown in a Controlled Environment

Evaluation of Machine Learning Models for Stress Symptom Classification of Cucumber Seedlings Grown in a Controlled Environment

Stress by unfavorable environmental conditions, including temperature, light intensity, and photoperiod, significantly impact early-stage growth in crops, such as cucumber seedlings, often resulting in yield reduction and quality degradation. Advanced machine learning (ML) models combined with image...

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Bibliographic Details
Main Authors: Kyu-Ho Lee, Samsuzzaman, Md Nasim Reza, Sumaiya Islam, Shahriar Ahmed, Yeon Jin Cho, Dong Hee Noh, Sun-Ok Chung
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
controlled environment agriculture
machine learning
cucumber seedling
image analysis
stress symptom classification
Online Access:https://www.mdpi.com/2073-4395/15/1/90
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