Methods for increasing the contrast of drone agricultural images.

Given the significant time investment required for manual execution and oversight of various agricultural tasks, the adoption of modern technologies emerges as the most efficient solution to address this issue. Nowadays, the interest in the images taken by unmanned aerial vehicles (drones) in the field of agriculture is also increasing. In contemporary times, there is a growing fascination with images captured by unmanned aerial vehicles (drones) within the agricultural sector. However, in certain instances, the quality of these drone-captured images may not meet the stipulated criteria necessary for performing specific tasks. One of the common problems with images is low image contrast. This situation complicates the identification of objects, distinguishing important elements such as agricultural crops and machinery. This study is devoted to determining the optimal pair of contrast enhancement method or sequence of methods and reference contrast evaluation criteria, and a new approach for automating image processing is proposed. [ABSTRACT FROM AUTHOR]