Authors: Harun Sujadi, Budiman B., Dony Susandi, Elba Ghiffari Fitriasina, Trustorini Handayani
Abstract
Traditional farming in chili cultivation often needs help in monitoring plant conditions efficiently. Farmers generally use manual methods to identify pests and determine soil nutrient requirements, which are often inaccurate and time-consuming. This study aimed to improve the efficiency and productivity of chili cultivation by implementing smart farming technology using the YOLO (You Only Look Once) algorithm for real-time leaf pest detection. The method used is system development, which includes data collection, model training, and system performance evaluation. The test results showed that YOLO technology can identify pests with reasonably high accuracy, allowing farmers to take quick and precise action. The implementation of smart farming is expected to increase productivity, reduce losses due to pests, and support sustainable agricultural practices. The main contribution of this study was the development of a YOLO-based monitoring system that can support the efficiency of chili farming in Indonesia. © School of Engineering, Taylor’s University.
Keywords: Agriculture; Chile plants; Research and development; Smart farming; YOLO
This article can be accessed at https://www.scopus.com/pages/publications/105002405701
