1. Plantix
Use: Crop disease detection and treatment recommendations
Overview: Plantix helps farmers identify plant diseases instantly by uploading a photo of the affected crop. Its AI engine compares symptoms with a vast database and offers instant diagnoses along with treatment suggestions. It also provides weather forecasts and fertilizer tips based on soil type.
2. Taranis
Use: Precision agriculture through aerial surveillance
Overview: Taranis uses AI and high-resolution aerial imagery to detect early-stage crop issues, such as pests, nutrient deficiencies, and diseases. It enables farmers to act quickly and prevent crop loss, improving yield quality and quantity.
3. OneSoil
Use: Precision farming with real-time field analytics
Overview: OneSoil offers satellite monitoring and AI-based insights for crop performance, soil condition, and vegetation health. It helps in optimizing seed planting, fertilizer use, and irrigation planning—making farming more efficient and sustainable.
4. FarmLogs
Use: Farm management and planning
Overview: FarmLogs uses AI to provide field-specific insights like rainfall tracking, crop health, and yield prediction. Farmers can access real-time data for better crop planning, cost management, and resource allocation.
5. Agremo
Use: Drone analytics for crop monitoring
Overview: Agremo integrates AI with drone technology to analyze crop growth, stand counts, weed detection, and more. The platform helps in mapping fields and making informed decisions based on detailed aerial reports.
6. Prospera
Use: AI for greenhouse and open-field monitoring
Overview: Prospera combines computer vision and machine learning to monitor crops in real time. Its system detects anomalies, predicts yield, and provides visual analysis to maximize efficiency in farming operations.
7. CropX
Use: Soil intelligence and irrigation optimization
Overview: CropX employs AI-powered soil sensors and analytics to provide actionable insights into soil moisture, nutrient levels, and irrigation needs. It significantly reduces water waste and enhances crop health.
8. Ecorobotix
Use: AI-powered robotic weeding and precision spraying
Overview: Ecorobotix offers autonomous machines that use AI to detect and treat weeds with precision, minimizing chemical use. This not only lowers environmental impact but also reduces costs for farmers.
9. aWhere
Use: Agronomic weather and climate analytics
Overview: aWhere uses AI to analyze weather, agronomic, and satellite data to provide predictive insights for planting, harvesting, and managing crop risk. It’s particularly useful in helping farmers adapt to climate variability.
10. Blue River Technology
Use: Smart spraying and machine learning for crop care
Overview: A subsidiary of John Deere, Blue River uses AI and computer vision to identify and spray only the necessary areas of a field, reducing herbicide use and improving crop yield.
