TY - GEN
T1 - Various Type of Crops and Trees Detection Using Clustering Technique Through Image Processing
AU - Rahman, Mohd Izzat Mohd
AU - Razman, Mohd Azraai Mohd
AU - Khairuddin, Ismail Mohd
AU - Majeed, Anwar P.P.Abdul
AU - Abdullah, Muhammad Amirul
AU - Isa, Wan Hasbullah Mohd
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - Based on ResNet-18 and MobileNetV1, this research created a custom identification neural network to detect chili, eggplant, and potato for the NVIDIA® Jetson Nano Developer Kit. This research will aim to implement drones, automatic machines, or autonomous systems in the agricultural sector, from the farm, orchard, or greenhouse to the consumer. Both neural networks go through two different epochs: 30 and 2000, with the same dataset quantity of 30 images for each crop selected. According to the experiment results, the ResNet-18 can identify chili with 94.79% accuracy, eggplant with 47.04 percent accuracy, and potato with 38.74% accuracy. While the MobileNetV1 can identify the chili with 99.8% accuracy, the eggplant with 99.9% accuracy, and the potato with 100% accuracy.
AB - Based on ResNet-18 and MobileNetV1, this research created a custom identification neural network to detect chili, eggplant, and potato for the NVIDIA® Jetson Nano Developer Kit. This research will aim to implement drones, automatic machines, or autonomous systems in the agricultural sector, from the farm, orchard, or greenhouse to the consumer. Both neural networks go through two different epochs: 30 and 2000, with the same dataset quantity of 30 images for each crop selected. According to the experiment results, the ResNet-18 can identify chili with 94.79% accuracy, eggplant with 47.04 percent accuracy, and potato with 38.74% accuracy. While the MobileNetV1 can identify the chili with 99.8% accuracy, the eggplant with 99.9% accuracy, and the potato with 100% accuracy.
KW - Machine learning
KW - MobileNetV1
KW - ResNet-18
KW - SSD
UR - http://www.scopus.com/inward/record.url?scp=85151060445&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-8703-8_28
DO - 10.1007/978-981-19-8703-8_28
M3 - Conference Proceeding
AN - SCOPUS:85151060445
SN - 9789811987021
T3 - Lecture Notes in Electrical Engineering
SP - 325
EP - 332
BT - Advances in Intelligent Manufacturing and Mechatronics - Selected Articles from the Innovative Manufacturing, Mechatronics and Materials Forum iM3F 2022
A2 - Abdullah, Muhammad Amirul
A2 - Khairuddin, Ismail Mohd.
A2 - Mohd. Isa, Wan Hasbullah
A2 - Mohd. Razman, Mohd. Azraai
A2 - Rasid, Mohd. Azri Hizami
A2 - Zainal, Sheikh Muhammad Hafiz Fahami
A2 - Ab. Nasir, Ahmad Fakhri
A2 - Bentley, Barry
A2 - Liu, Pengcheng
PB - Springer Science and Business Media Deutschland GmbH
T2 - Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2022
Y2 - 20 July 2022 through 20 July 2022
ER -