Heliopas.ai provides agricultural field monitoring using aerial imagery and data analysis. Their platform delivers insights on crop health, yield prediction, and resource optimization to help farmers improve decision-making and increase productivity.
Funding
Funding not disclosed
Founders
Product
Problem
Farmers often face challenges in optimizing crop yields due to unpredictable environmental conditions and resource constraints. Inefficient irrigation practices, difficulty in assessing soil conditions, and delayed disease detection can lead to reduced productivity and increased operational costs.
Solution
Heliopas.ai provides agribusinesses with scalable environmental insights derived from satellite imagery and AI-powered analytics, enabling informed decision-making for sustainable agriculture. The platform delivers field-specific data on soil moisture, plant health, and land use, empowering farmers to optimize irrigation, detect diseases early, and manage resources effectively. With the WaterFox mobile app, users can access AI-driven recommendations for precise irrigation and fertilization, minimizing waste and maximizing yields. By providing affordable and reliable field data, Heliopas.ai helps farmers improve productivity while promoting environmental stewardship.
Target Audience
Heliopas.ai serves farmers, farm utility providers (seed breeders, agricultural machinery, agrochemical companies), and food processors seeking to improve yields, optimize resource use, and enhance supply chain traceability.
Features
- Daily field monitoring using satellite imagery and AI-driven analytics
- Soil moisture analysis with 10m spatial resolution
- Crop type identification and land use mapping
- Plant health monitoring for early disease and infestation detection
- RiverFox irrigation management software for planning and documentation
- Envirotyping analytics providing information about the environment and phenotype on fields
- Integration of weather data for accurate irrigation recommendations
- Mobile app for accessing field data and AI-driven recommendations