AI Farm Intelligence
Today: rule-based insights from your farm records. Tomorrow: predictive models trained on history, weather, vet records, and local disease patterns.
Built for prediction, working today
The current insights below use simple rules over your live records. Future versions will use historical farm data, weather data, veterinary records, crop performance, and local disease patterns to predict disease risk, feed demand, crop yield, and land-use opportunities.
Animals overdue for vaccination
- Vasikana (Cattle) — 20676 day(s) overdue
- Mufaro (Cattle) — 20641 day(s) overdue
- Mutekedza (Cattle) — 20685 day(s) overdue
- Tariro (Cattle) — 20626 day(s) overdue
- Rufaro (Cattle) — 20661 day(s) overdue
- Hwai 1 (Sheep) — 20641 day(s) overdue
- Hwai 2 (Sheep) — 20621 day(s) overdue
- Nguruve sow (Pig) — 20611 day(s) overdue
- Nguruve boar (Pig) — 20631 day(s) overdue
- Roadrunner Flock (Chicken) — 20611 day(s) overdue
- Australorp Layers (Chicken) — 20664 day(s) overdue
- Turkey Flock A (Turkey) — 20631 day(s) overdue
12 signals
Feed likely to run out within 14 days
- Dairy Meal — about 6 days of cover left
- Layers Mash — about 4 days of cover left
- Broiler Starter — about 11 days of cover left
- Goat Concentrate — about 5 days of cover left
- Pig Grower — about 12 days of cover left
5 signals
Crops approaching harvest
- Maize (Plot P1) — ~-20646 days
- Sugar Beans (Plot P2) — ~-20621 days
- Covo (Rape) (Plot P3) — ~-20676 days
- Tomatoes (Plot P4) — ~-20611 days
- Sweet Potato (Plot P5) — ~-20661 days
5 signals
Plots that appear underutilized
- Fallow Block — 15%. Plant Napier or fodder sorghum
1 signal
Livestock with active health issues
- Mutekedza — Recovering (Treated for tick-borne fever)
1 signal
Roadmap to predictive AI
- Livestock disease trend detection across breeds and seasons
- Breeding optimization — pairing & calving forecasts
- Fish feeding schedule recommendations from growth & water data
- Hive productivity tracking — yield per apiary, swarm risk
- Livestock mortality risk scoring (cattle, goats, poultry)
- Vaccination & dipping forecasting per breed and region
- Feed demand forecasting from herd composition and growth curves
- Crop yield prediction from soil, weather and input history
- Land-use opportunity scoring across rotations and agroforestry
- Weather-aware planting and irrigation scheduling
