Chili plant classification using transfer learning models through object detection
This study presents an application of using a Convolutional Neural Network (CNN) based detector to detect chili and its leaves in the chili plant image. Detecting chili on its plant is essential for the development of robotic vision and monitoring. Thus, helps us supervise the plant growth, furtherm...
Main Authors: | Amirul Asyraf, Abdul Manan, Mohd Azraai, Mohd Razman, Ismail, Mohd Khairuddin, Nur Aiman, Shapiee |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UMP
2020
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/33631/1/Chili%20plant%20classification%20using%20transfer%20learning%20models%20through%20object%20detection.pdf |
Similar Items
-
Ball classification through object detection using deep learning for handball
by: Arzielah Ashiqin, Alwi, et al.
Published: (2020) -
The Classification of Skateboarding Tricks by Means of the Integration of Transfer Learning and Machine Learning Models
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2020) -
The classification of taekwondo kicks via machine learning: A feature selection investigation
by: Muhammad Syafi’i, Mass Duki, et al.
Published: (2021) -
The classification of elbow extension and flexion: A feature selection investigation
by: Mohamad Ilyas, Rizan, et al.
Published: (2020) -
The classification of skateboarding tricks : A transfer learning and machine learning approach
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2020)