Atinia Hidayah

Technical University of Malaysia Malacca

Papers

Total Citations

H-Index

About

Atinia Hidayah is a leading researcher at the intersection of agricultural technology and artificial intelligence, with a primary focus on deep learning applications for precision farming and plant disease detection. Her most impactful work, "Disease Detection of Solanaceous Crops Using Deep Learning for Robot Vision" (2022, 20 citations), addresses a critical challenge in modern agriculture: the labor-intensive and error-prone process of manual crop monitoring. Hidayah’s key contribution lies in developing computer vision models that enable autonomous robots to identify diseases in solanaceous crops—such as tomatoes, potatoes, and eggplants—at early growth stages, thereby reducing reliance on excessive pesticides and fertilizers. By integrating deep learning with robotic vision, she provides a scalable solution for real-time, non-invasive disease diagnosis, empowering farmers to make data-driven decisions. Her research has garnered attention for its potential to revolutionize sustainable farming practices, particularly in regions with limited agricultural expertise. Beyond this flagship study, Hidayah continues to advance smart agriculture, bridging the gap between machine learning and practical crop management. Her work not only enhances crop yield and food security but also inspires a new generation of agri-tech innovators.