When we talk about human health, unfortunately, some people still hear severe diagnosis because their disease was diagnosed too late. Some conditions have almost no symptoms until the situation gets really bad and only regular health checks can reduce the risk.
Same applies to plants. And we are ready to help them to avoid this scenario.
This technology leverages precision agriculture, artificial intelligence and hyperspectral imaging for optimized crop yield and fertilization while reducing the environmental impact. It focuses on potatoes and wheat. The key is targeted application rather than whole-field treatment.
Since algorithms can be described as opinions in code, the visualisation of these opinions is the foundation on which advisors and farmers alike can base their decision making. The benefits are usability, rapid assessment, accuracy and consistent results.
Main problems that the technology solves:
However, as the application of pesticides and fungicides is hampered by adverse weather conditions and outdated agricultural machinery, farmers need to rely on advisors that know the regional specificities. Their service includes a web platform for hyperspectral data submission and storage, as well as data aggregation and integration with the GIS-based FMIS AgroSmart for analysis result presentation and delivery. Further integrations with other FMIS (such as 365FarmNet and Akkerweb) are currently explored.
Successful agricultural operations depend on field management including crop monitoring for nutrients, irrigation, diseases, and overall plant health. Traditionally this has been carried out by visual examination of crops on the ground. However, these methods are limited and only fighting the symptoms instead of proactively preventing them.