The Problem
Globally, pests and diseases account for an estimated 20-48% reduction in crop yields annually (UN FAO). Delayed detection of crop pest and diseases accounts for 47% of crop loss in every farming season across the world. 38% CO2 Emission comes from fertilizers, chemicals leading to soil degradation (UNEP).
In Sub-Saharan Africa, certain pests alone cause annual cereal grain losses of about 4.1 million metric tonnes (UNEP).
We are addressing challenges of delayed pest and disease identification that often lead to loss of yield, use of heavy fertilizers that contribute significantly to CO2 emissions and soil degradation.
About Us
We empower smallholder farmers by putting them ahead by providing early detection of crop pests, diseases, and nutrient deficiencies through our priority solar-powered detection device.
We leverage Machine Learning Algorithms, Artificial Intelligence and hyperspectral imaging technologies, to detect crop pests and diseases before manifestation. We automatically send real-time SMS alerts and actionable recommendations to farmers, helping them mitigate losses and improve productivity.
The Solution
A solar-powered, AI-driven device that detects crop pests, diseases, and nutrient deficiencies in real-time, providing smallholder farmers with actionable SMS alerts and data-driven recommendations for mitigatory action.
Powerful Features for Modern Farming
Track NDVI, chlorophyll index, and stress indicators with Sentinel-2 and Landsat imagery.
AI-powered yield forecasting based on historical data, current crop health, and environmental factors.
Early warning system for pest infestations and disease outbreaks using thermal and multispectral analysis.
Combine satellite data with weather forecasts to predict drought risks and optimal irrigation timing.
Receive AI-generated recommendations for irrigation, fertilization, and pest management via SMS or WhatsApp.
Monitor multiple farms and fields from a single dashboard with detailed analytics for each location.
We gather crop imagery from our camera, integrated with our device and mounted on the farm.
Our machine learning models analyze the data to detect crop health issues, predict yields, and identify potential risks.
Receive personalized recommendations and alerts through our web platform, mobile app, or SMS notifications.
Of food waste prevented
Reduction in farm losses
CO₂ reduced per device annually
Our Impact
