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Prospects for agricultural production management based on objective data from remote monitoring were obvious both at the state level and for agricultural enterprises. Given the feasibility of the universality of the method of identification of technological stresses is the use of estimating the parameters of the distribution of vegetation indices on the site. According to the analysis of literature sources, the most promising solution is the analysis of the distribution of values ​​of vegetation indices. There are no ready-made software solutions for the analysis of the histogram of the distribution of stress areas on the field map to identify the nature of stress. Given the urgency of the problem for promising technologies of precision agriculture, the aim of the work was to develop a spectral-spatial method of monitoring technological stresses, namely the algorithm and software for its implementation. Experimental studies of the manifestation of technological stresses on the example of winter wheat were conducted during 2018-2020 in the production fields of NUBIP and commercial enterprises in the Kyiv region of Ukraine. Visible range cameras and specialized Slantrange 3p spectral systems were used. It has been established that the maps of high-resolution stress indices obtained with the help of UAVs can be considered as a separate object of research on the interpretation of the causes of stress of complex biological objects, such as winter crops. The algorithm is implemented in the developed software for spectral-spatial analysis of stress index maps to identify stress areas due to technological factors. Potentially, this approach can be useful in the assessment of irrigation systems, which is planned to study in further research.

technological stress, wheat, herbicide, UAV