A NEW BREAKTHROUGH IN PRECISION AGRICULTURE

With the support of the Ministry of Agriculture and Forestry, the use of the ‘Provea Precision Agriculture Decision Support System’, which started with the reinterpretation of plant production data and multispectral remote sensing images with machine learning techniques, is today continues with damage assessment studies.

Yield Estimation

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Disease Detection

It is possible to determine the abnormalities on the land and to increase the crop yield and to perform the disease follow-up with the disease density maps in which these anomalies are grouped as percentages.

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Weed Density

Weeds found in agricultural areas lead to a decrease in crop yields. It is possible to increase crop productivity as a result of the detection of weeds on the field.

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