Ay-ub.

Exporting validated votes for research and dataset generation purposes
Administrator dashboard for managing users and roles
Detailed view of a searcher user with their activity and validation history
Confirmation dialog for deleting a user from the platform
Interactive map displaying crop disease occurrences and detection results
Overview of LoRaWAN devices used for offline crop disease detection and data collection
Serial monitor output from Raspberry Pi showing real-time detection results and device status
Knowledge base for crop disease information, detection guidelines, and best practices for farmers and specialists
Page for managing and exporting datasets generated from validated crop disease detections

案例研究

基于 AI 的作物病害检测

智能作物病害检测平台

一个用于作物病害早期检测的智能 Web 平台，结合人工智能、计算机视觉、物联网与协作式验证，提升农业监测与诊断能力。