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...
Saved in:
Main Authors: | Nezha Kharraz, István Szabó |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/15/1/189 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vermicompost and vermiwash as supplement to improve seedling, plant growth and yield in Linum usitassimum L. for organic agriculture
by: Cinny Makkar, et al.
Published: (2017-06-01) -
Using Brown Algae in the Plant–Soil System: A Sustainable Approach to Improving the Yield and Quality of Agricultural Crops
by: Oscar Sariñana-Aldaco, et al.
Published: (2025-01-01) -
2019–2020 Florida Citrus Production Guide: Plant Growth Regulators
by: Tripti Vashisth, et al.
Published: (2019-08-01) -
2019–2020 Florida Citrus Production Guide: Plant Growth Regulators
by: Tripti Vashisth, et al.
Published: (2019-08-01) -
Enhancing lettuce (Lactuca sativa L.) production with plant growth-promoting rhizobacteria
by: Muzna Ardin Abdul Gafur, et al.
Published: (2024-12-01)