A smart grain dryer system lets farmers control the dryer from a distance and uses machine learning to make the crop drying process more energy efficient.
Many grain dryers that farmers use today were built 10-20 years ago. While these older systems generally perform well, they lack the efficiency and benefits of modern technology.
By digitizing these dryers at a low cost, it is possible to significantly reduce drying expenses with only a small financial investment.
We have developed a technology that collects temperature data from the dryer and uses machine learning model to analyze drying cycles. The model accurately predicts when each batch will be ready, which helps save energy and provides farmers precision.
In addition to monitoring what is happening in the dryer, the control system allows the operator to control the dryer from a mobile device.
Resource efficient grain drying:
In 2024, data was collected from five Estonian batch dryers, two Latvian batch dryers, the KEVILI Rõngu terminal dryer, and two METK seed dryers.
To join our next project, write to rose@soilprotection.earth
Estonia, Latvia & Finland
MTÜ Põllukultuuride klaster
21 June 2024 – 31 May 2025
111111,11€
Roosi Soosaar
+372 5373 1509
rose@soilprotection.earth
This project is funded through the "Support for the development of new products, practices, processes, and technologies" subsection of measure 16, "Cooperation," under the Estonian Rural Development Plan 2014–2020.
