NYCU and Changhua County Launch Smart Agriculture App to Help Farmers Monitor Crops with AI

2026-04-30

 

As rural communities face the dual challenges of an aging farming population and intensifying climate change, National Yang Ming Chiao Tung University (NYCU), in collaboration with the Changhua County Government, has unveiled the “Changhua Smart Cloud App,” a mobile platform designed to help farmers monitor crop conditions and manage agricultural practices in real time. The system was officially introduced on April 27 at a smart agriculture demonstration site in Xizhou Township.

Developed through a joint effort between NYCU and local authorities, the app integrates big data analytics with Internet of Things (IoT) technologies. Sensors deployed across multiple townships collect environmental data, enabling farmers to access up-to-date information on field conditions through their smartphones. As part of its University Social Responsibility (USR) commitment, NYCU has also donated 10 sets of environmental monitoring equipment to the Changhua County Government, translating research findings into practical tools that directly support local farming communities.

Turning Farming Experience into Data-Driven Insights

At the core of the platform is a knowledge system built from the expertise of 20 award-winning local farmers specializing in guava and grape cultivation. Their practices—ranging from irrigation and fertilization to climate adaptation—have been translated into data models that provide actionable guidance across different crop growth stages.

NYCU President Chi-Hung Lin said the system allows agricultural strategies to be adjusted based on Taiwan’s seasonal and environmental variations, and offers potential applications in post-disaster assessment.

Real-Time Monitoring and Alerts Enhance Farm Management

The app tracks 14 environmental indicators, including temperature, humidity, soil pH, and nutrient levels. Data is transmitted via IoT devices, allowing continuous monitoring. When abnormal conditions are detected, the system sends automated alerts, helping farmers respond quickly and reduce potential losses.

For many users, the shift has reduced the need for frequent on-site inspections. Tseng Hung-Chen, a young farmer in Xizhou, said the app enables more precise adjustments to fertilization and drainage, improving both yield and crop quality.

Expanding Access to Smart Agriculture Tools

The Changhua Smart Cloud App is available for free download and supports a wide range of mobile devices. Even farmers without installed sensors can access regional environmental data through the platform, broadening its usability.

The system also partners with local farmers’ associations to offer soil testing services through a “Soil Health Passport,” enabling users to make data-informed decisions on fertilization and land management.

Changhua County Magistrate Hui-Mei Wang noted that integrating technology into agriculture not only enhances productivity but also supports long-term land sustainability, creating new opportunities for younger generations to enter the sector.

Scaling from Pilot Sites to Countywide Deployment

Currently, the system has been implemented in several townships, supporting guava production in Xizhou and Shetou, and grape cultivation in Xihu and Dacun. Plans are underway to expand its application to other crops, including dragon fruit and muskmelon, with a broader goal of establishing a “Smart Cloud” system in every township.

Over the past two years, the Changhua County Government has partnered with NYCU to install monitoring infrastructure across four townships, utilizing the IoTtalk platform to ensure stable data transmission. The research team continues to refine the system to adapt to diverse crops and environmental conditions.

From field monitoring and knowledge digitization to decision support, the initiative reflects how academic research can be translated into practical tools—bringing tangible benefits to agricultural communities and advancing NYCU’s long-term commitment to social responsibility.

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