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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

Case study

AI-Based Crop Disease Detection

Intelligent Crop Disease Detection Platform

An intelligent web platform for early crop disease detection that combines artificial intelligence, computer vision, IoT, and collaborative validation to improve agricultural monitoring and support disease diagnosis.