BANTING, 24 July 2026 – Universiti Teknologi Malaysia (UTM), through the Faculty of Artificial Intelligence (FAI) and supported by the Innovation and Commercialisation Centre (ICC UTM), conducted a field validation programme for its AI-powered plant disease detection system at KMK Agro Global Sdn. Bhd., Banting, Selangor.
Led by Ir. Dr. Hazilah Mad Kaidi, the project is funded under the ICC UTM SME Tech Grant and focuses on developing a rail-based smart camera system for early detection of plant disease symptoms.
The prototype integrates artificial intelligence (AI), image processing, camera technology and the Internet of Things (IoT). A camera moves along a rail to capture plant images, which are analysed to identify early signs of disease and abnormal leaf conditions. The approach could help farmers respond earlier, reduce disease spread and minimise crop losses.
The field validation brought together farmers, students, researchers, community members, and representatives from agricultural and technology-related agencies and industries. Their feedback will support further improvements to the system before its next stage of development and potential commercialisation. The video shows participants and the UTM research team during the field validation of the AI-powered rail camera system at KMK Agro Global Sdn. Bhd., Banting.
The initiative also supports SDG 2 (Zero Hunger), SDG 4 (Quality Education), SDG 9 (Industry, Innovation and Infrastructure), SDG 12 (Responsible Consumption and Production), and SDG 17 (Partnerships for the Goals).
Further reading news: https://news.utm.my/2026/07/utm-perkasa-pertanian-pintar-melalui-sistem-pengesanan-penyakit-tanaman-berasaskan-ai/
