Leaf scan
Farmers photograph a leaf with a guided frame. The app waits for a clear, stable shot, then sends it for analysis.
AgriScan is an AI crop disease detection system. Farmers scan a leaf on their phone. The system names the crop problem, suggests treatment, and lets city administrators watch outbreaks on a map.
The public system has two sides: a mobile app for farmers in the field, and a web dashboard for administrators in Bago City.
Farmers photograph a leaf with a guided frame. The app waits for a clear, stable shot, then sends it for analysis.
Each result includes practical treatment guidance the farmer can follow after the scan.
Past scans stay on the farmerโs account, with the photo result, crop, and date.
Administrators see scans on a map of Bago City, colored by severity, and can filter by crop, date, and risk.
Admins review registered farmers, farm location, account status, and each farmerโs scan history.
Admins track scan volume, common diseases, and activity so the city can respond to outbreaks.
One photo becomes a farmer result and a city record.
The farmer opens Scan Crop, fits the leaf in the green frame, and the app captures a stable photo.
The photo goes to the AgriScan service. The AI model returns the crop disease and confidence.
The farmer sees the diagnosis, severity, and treatment on the phone. The scan is saved to history.
Administrators review the same scan on the web dashboard and on the disease hotspot map.
Farmers work from the mobile app. City administrators work from this website.
Use the AgriScan mobile app in the field.
Sign in on the web to manage the city view.