APLIKASI MODUL ESP32-CAM DALAM RANCANG BANGUN SISTEM PEMANTAUAN KEMATANGAN BUAH TOMAT BERBASIS EDGE IMPULS YOLO MODEL

HUSIN, SADAM and Arsyad, Fitri Suryani and Satya, Octavianus Cakra (2025) APLIKASI MODUL ESP32-CAM DALAM RANCANG BANGUN SISTEM PEMANTAUAN KEMATANGAN BUAH TOMAT BERBASIS EDGE IMPULS YOLO MODEL. Undergraduate thesis, Sriwijaya University.

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Abstract

This study aims to design and implement an automated system to detect the ripeness level of tomatoes using the ESP32-CAM module and the YOLO algorithm trained through the Edge Impulse platform. The system relies on color parameters extracted from tomato images to classify ripeness into three categories: unripe, semi-ripe, and ripe. Tests were conducted at various distances (10 cm, 20 cm, and 40 cm) and under different lighting conditions (morning and afternoon). The results show that the system can accurately detect ripe tomatoes in all conditions. The highest accuracy was generally obtained at a 20 cm distance, especially for unripe and semi-ripe tomatoes. As a reference, manual classification using the USDA's Tomato Color Chart (TCC) was employed. The automatic detection results show a high degree of conformity with manual classification, demonstrating that this system can be used as an alternative for real-time monitoring of tomato ripeness in modern agriculture. Keywords: ESP32-CAM, YOLO, Edge Impulse, tomato ripeness, tomato color chart, automated detection.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	ESP32-CAM, YOLO, Edge Impulse, kematangan tomat, tomato color chart, deteksi otomatis.
Subjects:	Q Science > QC Physics > QC120-168.85 Descriptive and experimental mechanics
Divisions:	08-Faculty of Mathematics and Natural Science > 45201-Physics (S1)
Depositing User:	Sadam Husin
Date Deposited:	26 May 2025 05:58
Last Modified:	26 May 2025 05:58
URI:	http://repository.unsri.ac.id/id/eprint/174047

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