From planting to harvesting we provide actionable insights on the field to empower growers get higher yield with less resources
Proofminder puts an “agronomist” next to each plant, as our leaf-level farming platform allows to see things that are invisible for other solutions. Micro-level actionable insights on every leaf and plant help growers to estimate, calculate and improve all that visible on the field across the season.
Solve specific Ag Challenges
Helpful insights on each plant to support timely decisions and avoid costly mistakes
Innovate & Scale Expertise
New plant types and Agri use cases in a few weeks within a complete AI ecosystem
Follow Sustainable Goals
Reduce amount of chemicals applied and grow organic food to address the regulations
Increase Yield & Profit
Grow more with same or less resources, save on inputs and get higher yield and ROI on every ha
By combining AI technologies, visual data and Agroindustry players in one ecosystem, we make it possible to build new use cases in a few weeks and scale them on thousands of hectares in the same season. The number of use cases is unlimited, have a look at the examples and feel free to challenge us with yours!
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
Farmers and Agro insurance companies can estimate damage from weather anomalies and precisely calculate the yield and losses across the season
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.
Our partner turned to Proofminder to be able to recognise and identify ragweed on many thousand hectares a day based on plant phenology. It took just a few weeks for visual AI development and deployment on the Proofminder platform ensured scalability right away.
Ragweed detection, calculation of infection metrics became accessible via a simple, browser-based map display to make decisive actions.
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.
Proofminder provided end-to-end coverage of the AI lifecycle necessary to realize this agronomy use case – it allowed to capture and process aerial imagery of 5 distinct fields, resulting in over 250Gb imagery. Annotation and review workflow of over 7000 plants was possible with model training cycle completed in mere hours leveraging cloud GPUs and allowed for easy use by agronomists via simple web and tablet map visualization.
As a professional farmer, you feel that pressure – the need of produce more with finite resources, grow more organic food according to regulations, deal with climate change and make crucial decisions based on your data. Our platform provides leaf-level insights & recommendations for sunflower, corn, wheat, soybean, barley, sugar beet, lucerne, and other open field plants to enable growers:
Own season, own production processes and own specific use cases for avocado, grape, apple and other orchards:
In addition to basic Agro use cases like yield assessment or plantation monitoring, there are specific challenges in a seed production process both for field crops and in horticulture that Proofminder can help with:
We collaborate with drone service providers to offer growers full service from flights to insights. In this Agroecosystem, we enable drone operators to:
The time spent on daily duties and processes might be significantly less with Proofminder. Sharing the information about the field will help Agro insurance agents to:
Proofminder Awarded as a Most Innovative Agri Startup in 2021 by Hungarian Chamber of Agriculture!
A three-month project with Corteva Agriscience which allows targeted ragweed eradication on thousands of hectares by analyzing drone footage.