Conner Chang Kai Chong SJKC FOON YEW 2
Malaysia’s rice fields are facing a growing danger. Rising sea level and stronger storms are pushing seawater into paddy fields, especially at low-lying areas like Kedah and Perlis. Even a small amount of salt, --just 0.3% -- can kill young rice plants. If the problem is not solved soon, our rice harvest could drop by 10% in the coming years.
This project introduces an AI Smart Paddy Field, a next-generation agricultural management system designed to enhance crop productivity and sustainability through intelligent automation. The system integrates AI-based monitoring, IoT sensors, and drone-assisted analytics to optimize water usage, detect pest or nutrient deficiencies, and predict yield outcomes.
The objective of this project is to create a cost-effective, data-driven ecosystem that supports farmers in making precise and timely decisions. The methods include sensor data collection, cloud-based analysis using machine learning algorithms, and automated field operation via drone deployment. The results demonstrate improved water efficiency, reduced manual labor, and early pest detection capabilities. This project showcases how AI and automation can contribute to future-ready, sustainable rice farming.
