Smart Shamba is an AI‑driven advisory platform that provides smallholder and medium‑scale African farmers with crop and livestock recommendations tailored to their specific water source, soil conditions, and location.
Funding
Funding not disclosed
Founders
Product
Problem
Smallholder farmers in Africa often lack access to localized agronomic advice that considers their specific water sources, soil conditions, and regional climate, leading to suboptimal crop selection and lower yields.
Solution
Smart Shamba offers an AI-driven advisory platform that generates crop and livestock recommendations based on user‑provided farm parameters such as water source (rainfed, irrigated, mixed, greenhouse) and location. Users can perform instant, free searches without creating an account, view popular crops for their region, and track their query history. The system suggests suitable varieties, rotation strategies, and management practices to improve soil health and pest control. By delivering tailored guidance through a web interface, the platform helps farmers make data‑informed decisions that enhance productivity and resource efficiency.
Target Audience
Primary users are smallholder and medium‑scale farmers in African countries who need affordable, location‑specific agronomic advice for crop selection and livestock management.
Features
- AI model that matches farm conditions (water source, location, soil) to optimal crop and livestock options
- Free, no‑account required search interface for quick recommendations
- Regional popularity lists (e.g., Kenya) to highlight locally successful crops
- History tracking of past searches for easy reference and planning
- Step‑by‑step onboarding tour guiding users through search, shortcuts, and account management