Making the power of computer vision AI accessible for the Agroindustry
Proofminder allows you to integrate AI-powered visual intelligence into your products or projects in weeks not years
We can serve your AI initiatives from KPI definition to MVP launch
Up to 70% fewer recourses are needed for business case implementation
Grow as you wish the platform capacity makes it borderless
We comply with the regulations, your data is 100% safe
Continuous monitoring of plant growth using AI-based machine vision – water, nutrient deficiency, pest identification
AI / machine vision-based disease identification, like rust disease or fungus is much more accurate and less labor intensive than traditional solutions
Relying on comprehensive visual and sensor data, it is possible to predict the yield – all with low costs and easy extensibility
Accurate identification of the time of flowering of wheat is critical in agriculture – proper care of the crop during this period greatly influences the expected yield
Based on drone images, it is possible to analyse the soil / area of plantations like trees, shrubs, etc. in terms of productivity. This paves the way for data-driven increases in productivity
Animal husbandry can benefit from AI in several ways: analysing animal behaviour, identifying diseases, and partially replacing manual labor
based on phenology using high resolution RGB drone aerial photos
Ragweed pollen is a common allergen causing yearly suffering for millions of people. A single ragweed plant can produce up to a billion pollen grains in a season, which carried long distances by the wind.
It is a major health concern at many parts of the world – also various countries have laws triggering fines if too much ragweed is found on a property.
Identifying missed tassels during detasseling to increase yield, decrease cost and lost revenue
Machine detasseling only results in around 85% pulling vs the needed 99.7% for hybrid corn seeds. Any tassel not removed during the detasseling phase of hybrid seed corn production can result in unwanted pollination, degrading the necessary genetic purity, quality of seeds thus impacting its commercial market value.