Development of an algorithm for spectral analysis of images from UAVs to assess the quality of crop sprouts

Abstract

Abstract Within the framework of the concept of precision agriculture, a timely assessment of crop seedlings is necessary for making managerial decisions. Today, in most farms, this assessment is carried out on the basis of a limited number of field observations. In this paper, it is proposed to use unmanned aerial vehicles (UAV) as a data source for assessing seedlings, with the help of which a one-time survey of significant territories is provided. The proposed technology of automated image processing from UAVs allows you to quickly obtain not only a qualitative, but also a quantitative assessment of seedlings. The article considers an algorithm for spectral analysis of images from UAVs to assess the quality of crop sprouts.