Cutting-Edge Agricultural Early Warning Technologies
Overview of the Solution
Pests and diseases significantly impact rice production in Malaysia and other rice-growing countries. The Brown Plant Hopper (BPH, Nilaparvata lugens) and rice blast disease (Pyricularia oryzae) are major constraints in Southeast Asia. In Malaysia alone, these issues lead to an estimated yield loss of about 90,000 mt/season, valued at approximately RM 72 million.
Solution Description
Our project aims to preemptively identify biological and environmental parameters that could trigger BPH outbreaks. By forecasting these conditions, effective preventive and control measures can be implemented to prevent large-scale outbreaks.
Key Features
- Real-time Monitoring: Weather stations sense temperature, humidity, light intensity, and rain value, which are key indicators for BPH occurrence.
- Early Warning Alerts: IoT devices collect sensor data and send it to an IoT gateway for cloud analysis. Based on predefined rules and algorithms, risk indexes are produced.
- Data Analytics: Optimization of parameters and multiple regression analysis forecast BPH and blast disease occurrence, aiding in timely intervention.
- Remote Access: Farmers can access data and alerts remotely, ensuring they stay informed about potential risks.
Partnership with MARDI
Our successful collaboration with MARDI showcases the effectiveness of our IoT solutions in advancing agricultural technology and improving crop management practices.