The economic value of agricultural products that can be used as raw material in industry is very high. With the PROVEA Precision Agricultural Decision Support System, it is possible to monitor the development of industrial plants during an agricultural period and to perform early intervention by performing damage / disease monitoring.
In addition, thanks to vegetation maps created with the help of machine learning techniques, studies can be carried out to increase product efficiency and quality.
Thanks to image processing techniques, it is possible to make plant viability and yield estimations.
Data obtained from multi-band remote sensing images can be used to detect pests and pests in the field on a regional basis.
With the help of two- and three-dimensional models, it is possible to calculate the damages on the field as frost and full as a percentage.