IEC 2026 Startup Pitching Competition ยท M-037

VisionGro

AI-Powered Smart Paddy Farming Ecosystem for ASEAN

Halal Economy & AgriTech Team VisionGro

The team

WAN AHMAD ZUHAIR BIN WAN YUSOFF

WAN AHMAD ZUHAIR BIN WAN YUSOFF

AI Engineer

Universiti Kebangsaan Malaysia (UKM)

Anas Aeyman bin Nagur Aziz

Anas Aeyman bin Nagur Aziz

Member

Universiti Kebangsaan Malaysia (UKM)

Muhammad Fahmi bin Shaharuddin

Muhammad Fahmi bin Shaharuddin

Member

Universiti Kebangsaan Malaysia (UKM)

About this project

Rice farmers often face difficulty identifying crop diseases early, interpreting changing weather conditions, and deciding the right action before crop damage becomes severe. These challenges can reduce yield, increase treatment costs, and make farm management more dependent on manual observation or expert availability. VisionGro is an AI-powered smart agriculture platform designed to make paddy crop monitoring more accessible, faster, and data-driven.

The platform allows farmers to capture or upload images of paddy plants for AI-based disease detection, supported by a weather risk score, location-based insights, and practical recommendations for crop management. Its mobile-oriented design and offline-capable features are intended for use in real farming environments, including areas with limited connectivity. VisionGro combines computer vision, agricultural risk assessment, and decision support in one simple platform.

Designed primarily for paddy farmers and agricultural stakeholders, VisionGro aims to reduce delayed intervention, improve farm productivity, and support more sustainable use of agricultural resources. Through a freemium model, farmers can access essential diagnostic features at low cost, while premium services provide extended monitoring and insights. VisionGro is designed to be scalable to other crops, diseases, and agricultural regions, creating a pathway toward more accessible precision agriculture across Malaysia and Southeast Asia.

VisionGro is competing at the International Entrepreneurship Convention 2026, 7 and 8 October, Putrajaya.

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