Various Type of Crops and Trees Detection Using Clustering Technique Through Image Processing

Mohd Izzat Mohd Rahman, Mohd Azraai Mohd Razman*, Ismail Mohd Khairuddin, Anwar P.P.Abdul Majeed, Muhammad Amirul Abdullah, Wan Hasbullah Mohd Isa

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review


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.

Original languageEnglish
Title of host publicationAdvances in Intelligent Manufacturing and Mechatronics - Selected Articles from the Innovative Manufacturing, Mechatronics and Materials Forum iM3F 2022
EditorsMuhammad Amirul Abdullah, Ismail Mohd. Khairuddin, Wan Hasbullah Mohd. Isa, Mohd. Azraai Mohd. Razman, Mohd. Azri Hizami Rasid, Sheikh Muhammad Hafiz Fahami Zainal, Ahmad Fakhri Ab. Nasir, Barry Bentley, Pengcheng Liu
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9789811987021
Publication statusPublished - 2023
EventInnovative Manufacturing, Mechatronics and Materials Forum, iM3F 2022 - Pekan, Malaysia
Duration: 20 Jul 202220 Jul 2022

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


ConferenceInnovative Manufacturing, Mechatronics and Materials Forum, iM3F 2022


  • Machine learning
  • MobileNetV1
  • ResNet-18
  • SSD


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