Convolutional Neural Networks (CNNs) is a type of AI which works like a trained eye to spot patterns in leaf images. It uses a tiny computer chip called ARM Cortex-M, which is low-cost, portable, and works offline.

With just a simple device, a farmer can capture a photo of an infected leaf, and the AI will instantly suggest what disease it might be and what action to take. This means farmers get quick and accurate advice in the field, helping them act fast to protect their crops and increase their harvests. “Our goal is to empower farmers with practical, accessible tools. Even in the most remote areas, they can respond quickly to problems, without expensive equipment or internet access.” said Dr Hermawan.

More than just a tool to identify plant diseases, this innovation encourages sustainable farming too. It helps farmers use fewer chemicals by providing accurate information, giving farmers the knowledge they need right in the field and thus reducing crop loss. Such practical solutions are especially important in rural areas with limited resources, helping to strengthen food security for the long term.