An augmented attention-based lightweight CNN model for plant water stress detection
Recently, deep learning techniques specifically the Convolutional Neural Networks (CNNs) have reported outstanding results from the application for plant water stress detection based on computer vision system compared to other machine learning methods. However, the size of the conventional CNN model...
Main Authors: | Kamarudin, Mohd. Hider, Ismail, Zool Hilmi, Saidi, Noor Baity, Hanada, Kousuke |
---|---|
Format: | Article |
Published: |
Springer
2023
|
Subjects: |
Similar Items
-
Anaugmented attention-based lightweight CNN model for plant water stress detection
by: Kamarudin, Mohd Hider, et al.
Published: (2023) -
Deep learning sensor fusion in plant water stress assessment: a comprehensive review
by: Kamarudin, Mohd Hider, et al.
Published: (2021) -
Deep learning sensor fusion in plant water stress assessment: A comprehensive review
by: Kamarudin, Mohd. Hider, et al.
Published: (2021) -
Deep Learning Sensor Fusion in Plant Water Stress Assessment: A Comprehensive Review
by: Mohd Hider Kamarudin, et al.
Published: (2021-02-01) -
Lightweight deep CNN models for identifying drought stressed plant
by: Kamarudin, M. H., et al.
Published: (2022)