| Summary: | In recent years, there has been a sharp increase in interest in using satellite imagery in agriculture. These images are useful for monitoring crops, analyzing soil conditions, and identifying potential machine problems. However, the quality of these images can vary greatly depending on factors such as weather conditions, time of day, and the type of satellite used. One common problem with images, in general, is poor contrast or lack of contrast, which can make it difficult to identify objects such as crops or machinery. This work is devoted to methods of contrast enhancement and evaluation criteria used to improve the quality of agricultural images obtained from satellites and unmanned aerial vehicles, as well as the selection of the optimal pair of criteria and methods.
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