Citation

Mohd Nizam, Muhammad Nadzmi and Ooi, Shih Yin and Pang, Ying Han and Lee, It Ee (2025) Analyzing the Effect of LED Light on Plant Growth Using Logistic Regression and SHAP-Based Explainable AI Models. In: 2025 International Conference on Information and Communication Technology, ICoICT 2025, 30 July 2025 - 31 July 2025, Hybrid, Bandung.

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Abstract

This study investigates how LED lighting affects plant growth using Logistic Regression and SHAP-based Explainable AI. Five agriculture datasets were analyzed, and models including SVM and KNN were benchmarked. Logistic Regression offered strong interpretability, while SHAP identified key features like Total Fresh Mass and Specific Leaf Are

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Agricultural data analysis, explainable AI, lED light, logistic
Subjects:	Q Science > QK Botany
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Nor Afiqah Mohd Adnan
Date Deposited:	09 Dec 2025 03:26
Last Modified:	09 Dec 2025 03:26
URII:	http://shdl.mmu.edu.my/id/eprint/14974

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