Our Solutions
Innovative approaches to modern agricultural challenges
ShambaCare AI-Powered Pest & Disease Detection Tool
The Challenge
Crop pests and diseases are among the leading causes of reduced agricultural productivity, crop losses, and income instability for smallholder farmers in Taita Taveta County and across Kenya. Many farmers struggle to identify diseases early and often rely on delayed or inaccurate diagnoses, resulting in ineffective pesticide use, higher production costs, and significant yield losses. There is a need for a fast, accurate, and accessible diagnostic solution that enables farmers to detect crop pests and diseases early and make informed treatment decisions.
Our Approach
ShambaCare Ai-Powered Pest and Disease Detection Tool provides an instant diagnosis from a leaf image of the affected crop. Trained with over 24000+ crop across East Africa, our tool provides a clear diagnostics with over 90% confidence providing a detailed report about the pest and disease name,signs and symptoms,pesticide recommendation etc to farmers within 40 seconnds
Key Benefits
- Instant AI-powered diagnosis from a crop leaf image.
- Tailored chemical, biological, and organic treatment recommendations.
- Treatment cost estimation based on field size.
- Weather forecast alerts for better farm planning.
Our Technology Stack
Cutting-edge AI technology tailored for agriculture
Machine Learning
Advanced neural networks trained on thousands of crop disease images to provide accurate diagnoses in real-time.
Mobile-First Design
Optimized for smartphones with intuitive interfaces that work seamlessly even in low-bandwidth areas.
Offline Database
Comprehensive offline database of diseases, treatments, and agricultural information accessible without internet.
Weather Integration
Real-time weather data integration to provide optimal timing recommendations for agricultural activities.
Regional Focus: Taita Taveta
Tailored solutions for local agricultural challenges
Local Expertise
150+ diseases specific to Taita Taveta region identified and catalogued.
Community Focus
Designed with input from local farmers and agricultural extension officers.
Native Crops
Specialized for maize, beans, coffee, and other regional staple crops.
Scalable Model
Framework designed for expansion across Kenya and East Africa.
Measurable Impact
Real results from farmers using ShambaCare
Reduction in Crop Losses
Average reduction in preventable crop losses
Diagnostic Accuracy
AI model accuracy for disease identification
KES Saved Annually
Average savings per farmer per year
Offline Capability
Core functions work without internet
Transform Your Agricultural Practice
Join the growing number of farmers benefiting from AI-powered agriculture