Hybrid Plant Growth: Integrating Stochastic, Empirical, and Optimization Models with Machine Learning for Controlled Environment Agriculture

Controlled Environment Agriculture (CEA) offers a viable solution for sustainable crop production, yet the optimization of the latter requires precise modeling and resource management. This study introduces a novel hybrid plant growth model integrating stochastic, empirical, and optimization approac...

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Bibliographic Details

Published in:	Agronomy
Main Authors:	Nezha Kharraz, István Szabó
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Subjects:	Controlled Environment Agriculture (CEA) hybrid plant growth Growth Efficiency Ratio (GER) Plant Growth Index (PGI) optimization algorithms machine learning
Online Access:	https://www.mdpi.com/2073-4395/15/1/189