Sustainable cyber-physical platform for optimal greenhouse growth
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Authors
An Le, T.
Shakiba, Masoud
Ardekani, Iman
Shakiba, Masoud
Ardekani, Iman
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Date
2024-02-14
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Type
Conference Contribution - Oral Presentation
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
leaf spots
image processing
neural networks
modelling
Internet of Things (IoT)
sustainable agriculture
pattern recognition systems in agriculture
image processing
neural networks
modelling
Internet of Things (IoT)
sustainable agriculture
pattern recognition systems in agriculture
ANZSRC Field of Research Code (2020)
Citation
An Le, TAL., Shakiba, MS., & Ardekani, IA. (2024, Feb 14). Sustainable cyber-physical platform for optimal greenhouse growth [Paper presentedation] Smart Sustainable Development (SSD) 2024, Auckland, New Zealand https://hdl.handle.net/10652/6574
Abstract
Agriculture - importance and challenges
Solution - Our first target is Automatic disease detection using computer vision
A practical approach
Model development
Using the new Liquid Time-Constant Network
Project plan
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Future proof
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