HealthyCropping — Diagnose coffee, cacao, and banana…

Pitch

Description

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About this project

HealthyCropping is an innovative offline-first Android app that empowers small-scale farmers to detect diseases affecting coffee, cacao, and banana crops directly from their phone. By using advanced computer vision models, the app works seamlessly in areas with poor connectivity, ensuring timely diagnosis and action to protect yields.

HealthyCropping is an innovative offline-first Android application developed to assist smallholder and medium-scale farmers in detecting diseases affecting coffee (Coffea arabica / canephora), cacao (Theobroma cacao), and banana (Musa spp.). Designed specifically for rural regions with limited or no cellular connectivity, this open-source tool enables users to identify early signs of pathogens like coffee leaf rust (Hemileia vastatrix), cacao frosty pod rot (Moniliophthora roreri), and banana black Sigatoka (Pseudocercospora fijiensis). Prompt detection is crucial for timely cultural controls and minimizing yield loss.

Features

Offline Operation: Utilize advanced computer vision models directly on mobile devices for fast (<50ms) disease diagnosis without needing internet access.
Local Data Management: Capture scans and maintain farm records in an SQLite database. Users can sync data to a FastAPI backend when connectivity is restored.
Grounded Recommendations: Receive actionable insights grounded in certified agronomy literature from institutions like ICAFE, CATIE, and CORBANA through a Gemini RAG advisory layer, available when online.

How It Works

Crop Selection: Users select the crop type (Coffee, Cacao, or Banana) to initiate a tailored diagnostic process.
Photo Capture: Take a photo of the crop through guided framing instructions to ensure accuracy.
On-Device Preprocessing: The application prepares the image for swift analysis.
TFLite Inference: Efficiently evaluates images using quantized models, yielding results in under 50 milliseconds.
Local Results: Displays disease classification, severity levels, and necessary actions using local data storage.
Cloud Synchronization: Users can upload their data for further analysis and receive expert-guided treatment recommendations once online.

Supported Crops & Models

HealthyCropping incorporates specialized algorithms for each target crop, including classifications for healthy conditions, various disease stages, and recommended actions based on confidence levels.

Development and Contributions

This project is actively developed in phases, encompassing planning, implementation, and user testing, ensuring a comprehensive and reliable tool for farmers. Contributions from the community are encouraged, and comprehensive guidelines are available in the repository.

Limitations

The application is not a substitute for certified agronomic advice or laboratory diagnostics. External factors such as lighting conditions and backend service availability may impact performance.

HealthyCropping is entirely non-commercial and distributed freely as an Android APK, dedicated to enhancing the livelihoods of farmers through accessible technology.