Easily integrable and lightweight API
Precision farming
use cases
Key advantages
- Regular weekly data & historical archive
- Expert support for crop and soil use cases
- Pay-as-you-go without minimum order
Precision farming
Use cases
As a DynaCrop user, you get smooth access to smart and comprehensive satellite data insights. So, instead of worrying about your tech, you can focus on increasing revenue!
Daily field report
Support your daily operation planning with up-to-date analyses offering actionable crop-specific indicators on growth patterns and potential anomalies, guiding scouting point suggestions. Explore variability level and actual crop coverage. Create full, short, or custom reports in whitelabel PDF or JSON.
Soil sampling optimisation
Generate representative soil and yield zones for sampling, cutting costs by 20-40% compared to traditional methods. Save more than €100 per hectare while reducing labour, equipment, and fuel expenses. Benefit from enhanced accuracy, increased field productivity, and improved profit margins.
Variable rate seeding and fertilising
Get long-term yield potential zones within each field. Tailor inputs to the specific needs of each field zone and optimise plant populations to enhance efficiency, and save time as well as resources. This approach not only reduces resource usage by 15-40% but also boosts yields by 5-15%, resulting in financial gains of up to €200 per hectare for end users.
Irrigation and drought
Enhance irrigation efficiency and mitigate drought impact with AI-driven fusion of IoT sensors and satellite data. Leveraging soil characteristic understanding, optimise irrigation practices to reduce water usage by 20-30%.
Timing of operations and field work
Improve yields by 5-15% thanks to adjusting planning to weather and crop phenology. Harness satellite insights for field/region prioritisation. Ensure that resources and efforts are allocated efficiently.
Agriculture statistics
Enhance your agriculture portfolio monitoring and scale your risk assessment with comprehensive data-backed indicators.
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