A rotating hydroponics for lettuce cultivation with fuzzy-based adaptive speed control using computer vision-based spectral phenotypes
In the coming years, the world population is expected to go as high as 9.8 billion in 2050, according to the United Nations organization. This phenomenon leads to the increasing requirement for food supply and space. To address these issues, experts see indoor urban hydroponic farming as a solution...
Saved in:
Main Author: | Aquino, Heinrick L. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2022
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etdm_ece/22 https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1022/viewcontent/A_Rotating_Hydroponics4_for_Lettuce_Cultivation_With_Fuzzy_Based_A__1__Redacted.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Vision-based lettuce phenotype modeling using computational intelligence
by: ConcepcionIi, Ronnie S., II
Published: (2021) -
Histological and wetting characterization of the superhydrophobic pistia stratiotes L. (water lettuce)
by: Silvestre, Mark Louie T.
Published: (2018) -
Pre-harvest factors optimization using genetic algorithm for lettuce
by: Valenzuela, Ira C., et al.
Published: (2018) -
Intelligent machine vision-based decision support system for lettuce growth monitoring
by: Loresco, Pocholo James M.
Published: (2019) -
Quality assessment of lettuce using artificial neural network
by: Valenzuela, Ira C., et al.
Published: (2018)