Spaces:

Fola-AI
/

FarmEyes

Sleeping

App Files Files Community

FarmEyes / README.md

Fola-AI

Initial FarmEyes deployment - AI Powered Crop Disease Detection Program

f45df09 18 days ago

preview code

raw

history blame contribute delete

3.74 kB

metadata

title: FarmEyes
emoji: 🌱
colorFrom: green
colorTo: yellow
sdk: docker
app_port: 7860
pinned: false
suggested_hardware: cpu-basic

🌱 FarmEyes

AI-Powered Crop Disease Detection for African Farmers

🎯 What is FarmEyes?

FarmEyes is an AI application that helps African farmers identify crop diseases and get treatment recommendations in their native languages. Simply upload a photo of your crop, and FarmEyes will:

Detect the disease using computer vision (YOLOv11)
Diagnose the condition with severity assessment
Translate all information to your preferred language
Chat with an AI assistant for follow-up questions

🌍 Supported Languages

Language	Native Name
🇬🇧 English	English
🇳🇬 Hausa	Yaren Hausa
🇳🇬 Yoruba	Èdè Yorùbá
🇳🇬 Igbo	Asụsụ Igbo

🦠 Detectable Diseases

Crop	Diseases
🌿 Cassava	Bacterial Blight, Mosaic Virus
🍫 Cocoa	Monilia Disease, Phytophthora Disease
🍅 Tomato	Gray Mold Disease, Wilt Disease

🚀 How to Use

Step 1: Select Language

Choose your preferred language from the welcome screen.

Step 2: Upload Image

Take a photo of the affected crop leaf and upload it.

Step 3: View Results

Disease name and confidence score
Severity level (Low/Moderate/High/Critical)
Treatment recommendations
Cost estimates in Nigerian Naira (₦)

Step 4: Ask Questions

Use the chat feature to ask follow-up questions about the diagnosis.

🔧 Technology Stack

Component	Technology
Disease Detection	YOLOv11 (trained on African crops)
Language Model	N-ATLaS (Nigerian multilingual AI)
Speech-to-Text	OpenAI Whisper
Backend	FastAPI
Frontend	Custom HTML/CSS/JS

📱 Features

✅ Image Upload - Drag & drop or click to upload
✅ Real-time Detection - Results in seconds
✅ Multilingual Support - 4 Nigerian languages
✅ Voice Input - Speak your questions
✅ Text-to-Speech - Listen to responses
✅ Treatment Advice - Practical farming guidance
✅ Cost Estimates - In Nigerian Naira

⚠️ First Startup Notice

Please be patient on first use!

The N-ATLaS language model (~4.92GB) is downloaded automatically on first startup. This may take 5-15 minutes depending on connection speed. Subsequent uses will be much faster.

🏆 About

FarmEyes was built for the Awarri Developer Challenge 2025 to address the critical need for accessible agricultural AI in Africa.

The Problem:

20-80% crop losses annually due to diseases
Only 1 extension worker per 10,000 farmers (FAO recommends 1:1,000)
Agricultural knowledge locked in English

Our Solution:

AI-powered disease detection accessible via smartphone
Native language support through N-ATLaS
Practical, localized treatment recommendations

👨‍💻 Developer

Fola-AI

🤗 HuggingFace: @Fola-AI

📄 License

Apache 2.0

🙏 Acknowledgments

NCAIR for N-ATLaS model
Ultralytics for YOLOv11
HuggingFace for hosting
Awarri for the challenge opportunity

Built with ❤️ for African Farmers