🌾 AgriSema
NLP Multi-Lingual AI-Powered Agricultural Advisory for Kenyan Smallholder Farmers
Bridging the digital and linguistic divide to secure Kenya's food future.
Providing personalized, real-time agricultural advice in local languages.
🌍 Our Mission
AgriSema is dedicated to solving the critical disconnect in Kenyan agriculture. While smallholder farmers are the backbone of the economy, they face declining soil health, climate volatility, and a lack of accessible expertise.
We aim to democratize agricultural intelligence by breaking down two major barriers:
- 🗣️ The Language Barrier: Advice is often unavailable in local dialects.
- 📱 The Digital Gap: Advanced tech rarely reaches feature phone users.
🚀 Key Features
Our ecosystem combines state-of-the-art AI with accessible interfaces to ensure no farmer is left behind.
| Feature | Description |
|---|---|
| 🗣️ Multi-Lingual NLP | We are building models that process and generate queries in Kiswahili, Kikuyu, Kamba, and Luo, making expertise linguistically accessible. |
| 📸 Computer Vision | Smartphone-based disease and pest identification to enable rapid diagnosis from field photos. |
| ⚙️ Personalized ML | An engine that integrates weather APIs, soil data, and farm profiles to deliver hyper-local recommendations. |
| 🤝 Total Accessibility | PWA for smartphone users (visuals, charts) & USSD/SMS for feature phone users (text-based advice). |
📂 Our Resources
We are open-sourcing our efforts to contribute to the underrepresented area of African language NLP and AI for Food Security.
🧠 Models
Check back soon for our fine-tuned language models and computer vision classifiers.
AgriSema-NS-MAAT(Coming Soon)Crop-Disease-Vision-v1(Coming Soon)
📚 Datasets
We are curating high-quality datasets for agricultural contexts in local languages.
Kenyan-Agri-QA-Dataset(Kiswahili/Vernacular)Local-Crop-Pest-Images
🔭 Spaces (Demos)
Pilot applications coming soon...
🎯 Envisioned Impact
By providing the right information at the right time in the right language, we aim to drive:
- 📈 Higher Crop Yields: Through better soil management and timely advice.
- 🛡️ Climate Resilience: Alerts for unpredictable weather patterns.
- 🌱 Sustainable Practices: Reducing pesticide misuse through accurate pest ID.
This project directly aligns with Kenya's focus on using AI for food security and contributes to the vital, underrepresented area of local-language NLP development.