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

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
Main Authors: Nezha Kharraz, István Szabó
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agronomy
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
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