THE USE OF UNMANNED AERIAL VEHICLES TO EVALUATE THE TECHNOLOGICAL STRESS OF WHEAT WINTER
DOI:
https://doi.org/10.33730/2310-4678.1.2020.203933Keywords:
monitoring, unmanned aerial vehicles, herbicide aftereffect, wheat winterAbstract
The article deals with the applied aspects of the use of UAVs, namely the monitoring of winter wheat crops in relation to the stresses caused by the herbicide effects. The effects of herbicides are understood to mean the effects of herbicide residues left over from the precursor culture that cause a stressful condition in new crops. The issue has local specificity related to the inconsistency of plant cultivation technologies and the lack of study of the effects of the latest plant protection products in domestic soil conditions. Restoration of crop yields is possible with timely identification of causes of stress, but decision-making time is limited, requiring the introduction of up-to-date industrial monitoring technologies. The purpose of the research is to improve the methodology of operational monitoring using UAVs of winter crops for example wheat in relation to the effects of herbicide aftereffects. The experiments were carried out under laboratory conditions and in production fields for Mulan wheat. In laboratory studies using phytocameras it was not possible to establish for spectral or spectral spatial methods clear criteria that clearly indicated the stress caused by the herbicide effect. Field studies using the Slantrange UAV DJI Matrice 200 as an object of study analyzed the distribution of stress areas in the field. The experiments were conducted in 2018 at production fields in the Kiev region. It has been shown that maps of stress indices obtained from a high-resolution UAV database can be considered as a separate research object for the interpretation of stress causes of complex biotechnical objects such as crops. It has been established that monitoring and reliability of monitoring data can be achieved through the implementation of data processing and computer training systems to find correlation between the stress distribution of plants in the field and the execution of technological operations, terrain, etc.
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