Intelligence for farms.
Precision at scale.
KenAgri is an AI precision agriculture platform that combines computer vision and IoT sensor data to monitor crops, detect pests and disease, optimize irrigation, and automate compliance — helping farms increase yields and reduce waste.
KenAgri is an AI-powered agriculture intelligence platform that helps farmers, agribusinesses, and institutions optimize yield, reduce input costs, and manage farms sustainably using data-driven insights.
Data-Driven Farming, Made Practical
KenAgri combines AI, sensors, satellite data, and computer vision to deliver real-time insights that improve crop health, resource efficiency, and farm productivity.
Connects Farms
Integrate data from sensors, machinery, and satellites into one platform.
Analyzes Data
Advanced AI models detect patterns and crop stress before they become issues.
Optimizes Yield
Get actionable recommendations to maximize harvest quality and quantity.
Comprehensive features designed for scale.
Crop Health Monitoring
Detect stress, disease, and nutrient deficiencies early using AI-driven visual and sensor-based analysis.
Precision Input
Optimize water, fertilizer, and pesticide application to reduce waste and improve yields.
Yield Prediction
Leverage AI models to forecast yields and plan harvests with greater accuracy.
Farm Operations
Track field activities, equipment usage, and farm performance across seasons.
Higher Yields, Lower Costs
Higher Yields, Lower Costs
Improve productivity while reducing input costs through precision farming insights.
Built for Diverse Farming Conditions
Designed to work across crop types, farm sizes, and geographies.
Scales from Smallholders to Enterprises
Supports individual farmers, cooperatives, agribusinesses, and large-scale operations.
Sustainability by Design
Reduce environmental impact through optimized resource use and regenerative practices.
Intelligence in the Field
Empowering farmers with actionable insights for smarter agriculture.
Climate-Resilient Farming
Adapt farming practices using predictive insights and early warnings.
ContactHow It Works
Collect Farm Data
Integrate sensors, satellite imagery, drones, and field inputs.
Analyze with AI Models
Process data using crop-specific and region-aware AI models.
Deliver Actionable Insights
Provide clear recommendations for irrigation, nutrition, and protection.
Improve Every Season
Continuously refine insights with historical and real-time data.
Frequently Asked Questions
Everything you need to know about this product.
KenAgri uses computer vision models trained on millions of crop images to identify early signs of disease, pest infestation, and nutrient deficiency. Drone or ground-based cameras capture crop images which are analysed in real time — detecting issues up to two weeks before they become visible to the naked eye.
KenAgri integrates with all major commercial agricultural drone platforms including DJI Agras, Parrot Sequoia, and Trimble UX5. It also works with fixed-wing UAVs, multispectral sensors, and traditional farm cameras mounted on equipment.
Yes. KenAgri's yield prediction models analyse historical yield data, satellite and drone imagery, soil conditions, weather patterns, and crop growth stage data to provide field-level yield estimates with up to 90% accuracy — enabling better harvest planning and market timing decisions.
KenAgri integrates data from drone imagery, satellite multispectral feeds, soil sensors, weather stations, historical yield records, and market pricing data. The unified dashboard correlates all these sources to give a complete picture of farm health and performance.
KenAgri's AI models support 50+ crop varieties including corn, wheat, soybean, rice, cotton, fruits, and vegetables. Custom models can be trained for specialty crops not in the default library using your own labelled image datasets.