This project demonstrates how artificial intelligence (AI) and unmanned aerial vehicles (UAVs) can help advance sustainable agricultural practices. The team’s research utilizes UAV technology to monitor and detect plant diseases in rock melon greenhouses, significantly improving early intervention and reducing crop loss.
The award acknowledges the project’s significant contribution to the United Nations’ Sustainable Development Goals (SDGs), particularly in promoting sustainable agriculture, enhancing food security, and fostering innovation. The use of AI-driven UAVs in plant disease detection offers a scalable solution to a critical challenge farmers worldwide face, demonstrating the intersection of technology and sustainability.
The project was funded under the NICT ASEAN-IVO PJ2022 Project on Agricultural IoT based on Edge Computing. We aim to equip farmers with advanced tools for healthier crops and more sustainable farming practices. Winning this award reflects our team’s hard work and commitment. Using AI and UAV technology opens up new possibilities for precision agriculture. Early disease detection helps us minimize the impact on crop yield and quality, ultimately contributing to food security and sustainable farming.
FURTHER READING: https://news.utm.my/2024/08/uav-assisted-plant-disease-detection-wins-best-sdg-impact-award/