We all eat more and more consciously and attach more and more importance to a healthy diet. We want to know where our food comes from, how it was produced and whether and how much damage it may have caused to the environment. We provide all the relevant information from the field that they need, while at the same time we want to ensure that the data contributes to more effective food production and income generation for farmers.
Technology helps us to monitor and improve food production. By using satellite and drone imagery and algorithms based on it, we can ensure that plants are grown in a healthy environment, optimize yields, and enable farmers to respond to field problems in a timely manner.
Looking at the food production chain as a whole opens up new opportunities for stakeholders at every stage. Combined knowledge and know-how help us to follow the product's path from the field to the consumer. Providing a chain that ensures traceable food quality is important not only to increase consumer confidence but also to create the right incentives in agriculture.
It may seem trivial, but we put our hearts and souls into what we do. Here at AgriCircle we do our best to make the world a little more sustainable for all of us. We care about the environment, we care about our customers and we are committed to making things run smoothly through our platform. Which makes it absolutely unique.
We want food to be grown on healthy fields. The use of pesticides and fertilizers is optimized. Infected (toxic) tranches should be identified and eliminated at an early stage.
We want to protect the environment by optimizing the use of resources in agriculture and reducing emissions and food waste.
We want to create trust by enabling consumers to trace the origin of food.
Detect fields and crops on fields automatically.
Estimate relative yield in an area.
Have an informational advantage for improved activity planning.
Detect crop growth stages for best recommendations and improved yield comparisions.
High precision for rice.
Detect potential violation of water body distance rules and respective increased pollution.
Detect non-organic and organic fields.
Detect landscape structure (e.g. wood, infrastructure).
Detect grassland and cuttings to estimate intensity level.
Detect distribution of plants on a field.
Detect potential weed infestations.
Identify weeds and infested areas in order to tailor crop protection.
Identify PA (poisons) weeds that contaminate the produce.
Improve activities to fight weeds.
Detect mycotoxins before harvest.
Identify areas to harvest specifically for further use.
Reduce decontamination cost in supply chain.
Improve quality of produce.
Detect infections of crops.
Ideentify and quantify diseases.
Define best timing to spray crop protection and plant activators through drone measurements.
Reduce the use of chemicals.
Quantify mechanical damage in crops.
Detect potential issues with mycotoxins because of produce damage.
soil zoning and soil moisture,
growth rate and fertiliser issues,
various crop indices,
calculation of soil probing points
Algorithm for distribution and amount calculation.
Generate application maps based on up to 3 different base maps to optimize usage of chemicals and fertilisation.
Generate infection risk maps.
Calculate leaf cutting point to impact aromatics in wine.
Assess driveability for each area depending on soil condition and machinery.
Get recommendations for better soil conservation.