Capabilities

Intelligence Rooted in Every Field

KenAgri fuses data from every source — ground sensors, aerial imagery, and weather forecasts — into a single predictive intelligence layer.

Crop Health Monitoring

Continuous multispectral analysis of crop canopy using drone imagery and satellite feeds, detecting stress indicators, chlorophyll deficiencies, waterlogging, and early disease signatures days before they are visible to the naked eye. Precise field-level heat maps guide targeted intervention rather than whole-field treatment.

Yield Prediction Model

7-day and 30-day yield forecasts by field zone, crop type, and growth stage — enabling better harvest scheduling, logistics planning, and contract commitments.

Soil & Moisture Fusion

Combine NPK, temperature, pH, and volumetric moisture readings from in-ground sensors with aerial NDVI data for a full-stack soil health picture.

Automated Irrigation

Precision irrigation scheduling per zone based on crop water demand models, soil moisture data, and short-term weather forecasts — eliminating over and under-watering.

Pest & Disease Detection

Computer vision classifies 200+ crop diseases and pest damage patterns from drone imagery with 99% accuracy, enabling targeted treatment before spread.

Weather Correlation

Integrates hyperlocal weather station data and forecast APIs to correlate climate events with crop responses, improving prediction accuracy continuously.

How It Works

From Field Sensors to Precision Harvest

Three steps to data-driven farming that maximises every acre.

1

Deploy Sensors & Connect Drones

Install soil sensor arrays across your fields and connect your drone fleet or satellite imagery provider. KenAgri supports all major hardware vendors and standard data formats — setup is straightforward.

2

KenAgri Builds Your Crop Model

AI fuses all data streams — soil, imagery, weather, and historical yield records — into a unified field intelligence model. The system learns your soil variability, microclimates, and crop performance patterns over time.

3

Precision Actions Recommended & Automated

KenAgri delivers zone-specific recommendations for irrigation, fertilisation, and intervention — and automates execution where connected actuators and pivot systems are in place.

Use Cases

Where KenAgri Grows Results

Row Crop Farming

Optimise inputs across thousands of acres with zone-level precision. Reduce fertiliser costs, improve water use efficiency, and maximise yield per hectare.

Greenhouse Operations

Automate climate, lighting, and irrigation control based on real-time crop monitoring. Maximise production cycles while reducing energy and water consumption.

Vineyard Management

Monitor vine stress, soil variation, and disease pressure block by block. Time harvest precisely with AI-powered Brix prediction for consistently premium quality.

Business Impact

The ROI of Precision Agriculture

From input cost reduction to yield uplift, KenAgri's AI-driven insights pay for themselves within a single growing season on average.

22%

Yield Increase

Average improvement in per-acre yield with AI-guided interventions

35%

Input Savings

Reduction in fertiliser, pesticide, and water through precision application

4×

Faster Detection

Disease and pest outbreaks identified 4× earlier than manual scouting

1 Season

Payback Period

Most customers recover deployment cost within the first growing season

Common Questions

KenAgri FAQ

What is KenAgri and what types of farms is it designed for?

KenAgri is a precision agriculture AI platform that combines drone-based multispectral imaging, ground-level IoT sensors, and predictive analytics to give farmers and agronomists actionable, field-level intelligence. It is designed for row crops (wheat, maize, rice, soybean), high-value horticulture (tomato, pepper, vine), and plantation crops (sugarcane, cotton). Minimum viable deployment starts at around 50 acres; the platform scales to estates of 50,000+ acres through satellite-assisted coverage.

What diseases and pests can KenAgri identify?

KenAgri's crop health models cover 150+ disease and nutrient deficiency signatures across supported crops — including leaf rust, powdery mildew, early blight, bacterial wilt, and nitrogen/phosphorus/potassium deficiency patterns. Pest detection (fall armyworm, aphids, whitefly) is available through ground-level camera traps integrated with the platform. New disease models can be added using transfer learning from your region's specific pathogen variants in 3–6 weeks.

Does KenAgri require drones, or can it work with existing satellites?

KenAgri is sensor-agnostic. It works with drone-mounted multispectral cameras (DJI Matrice, Parrot Sequoia, MicaSense), fixed-wing UAV payloads, satellite imagery (Sentinel-2, Planet Labs, Maxar), and ground-level IoT sensors. For high-resolution disease scouting at the leaf level, drones provide 2–5 cm GSD imagery that satellites cannot match. For large estates, a hybrid approach — satellite for weekly overview, drones for triggered deep-dive scans — is the most cost-effective configuration.

How does KenAgri's yield prediction model work?

Yield prediction combines canopy NDVI time-series, soil moisture telemetry, historical weather data, and agronomic stage markers (germination, tillering, heading, grain fill). A crop-specific machine learning model — trained on 10+ years of regional yield datasets — produces per-field yield forecasts updated weekly. Forecast accuracy is typically ±8–12% at 60 days before harvest and improves to ±4–6% at 30 days. Forecasts are used to drive variable-rate irrigation and fertilisation schedules.

Does KenAgri work in areas with limited internet connectivity?

Yes. KenAgri is built for low-connectivity rural environments. IoT sensor nodes store and forward data over LPWAN (LoRaWAN, NB-IoT) and can buffer up to 72 hours of readings offline. The farm management dashboard operates in a Progressive Web App model — field data is cached locally and synced when connectivity is available. Drone imagery is processed on-board or at a field edge server, with only compressed analytical outputs (not raw images) sent to the cloud.

Can KenAgri be used for carbon credit and ESG reporting?

Yes. KenAgri generates the soil health, input-use, and yield-per-acre data required for Verra, Gold Standard, and Soil Carbon Initiative reporting frameworks. The platform tracks water use efficiency, synthetic input reduction, and cover crop biomass estimates — all standard metrics for regenerative agriculture carbon programmes. Several of our food & beverage enterprise customers use KenAgri data directly in Scope 3 agricultural emissions reporting.