Design and optimization system for hydroponic cucumbers by neural network and fuzzy logic

Authors

  • Mohammad HadiHalvani ,Omid Ghahraie

Keywords:

fault detection and identification system, the nervous system Adaptive fuzzy inference, hydroponic plants production, mechanical defects.

Abstract

The best way to achieve high agricultural production of low soil, using a protected area from temperature and climate, In order to increaseproduction per unit area to produce a product with the desired quality and quantity over the years. Early fault detection and identificationplays an important role in plant p roduction systems.

 

References

Walton, Michael T. Boyle and Newton on the transmutation of water and air, from the root of Helmont's tree. Ambix 27.1 (1980): 11-18

Downloads

Published

2025-08-28

How to Cite

Mohammad HadiHalvani ,Omid Ghahraie. (2025). Design and optimization system for hydroponic cucumbers by neural network and fuzzy logic . Journal of Computational Analysis and Applications (JoCAAA), 34(8), 141–146. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3550

Issue

Section

Articles