OPTICAL FIELD MONITORING IN ORIGINAL POTATO FARMING
A promising area for the development of agricultural monitoring is the use of unmanned aerial vehicles.An analysis of the criteria for recognizing plants in the field showed that the NDVI formulas of the vegetative index of plants are applicable and effective for the original potato seed production.The main existing NDVI formulas are analyzed in the work. It was established that when seedlings appear during the growing season, an increase in potato biomass corresponds to an increase in NDVI values. The content of chlorophyll and, accordingly, the value of NDVI, decreases with the onset of the ripening period. NDVI characterizes the density of vegetation, which allows growers to evaluate the germination and growth of plants, the productivity of the land. It was revealed that crop yield can be predicted with high accuracy using the NDVI index. It is proved that for potatoes, due to the large biomass, primarily green leaves and stems, it is of interest to use the criterion - GNDVI (Green Normalized Difference Vegetation Index) - Green normalized difference vegetation index. It is proved that for potatoes, due to the large biomass, primarily green leaves and stems, it is of interest to use the criterion - GNDVI (Green Normalized Difference Vegetation Index) - Green normalized difference vegetation index. This indicator is similar to the NDVI indicator, except that it is measured in the green spectrum from 540 to 570 nm., instead of changes in the red spectrum. Existing software systems for interpreting graphic data in the field of agricultural monitoring are analyzed. Analysis of services for working with UAVs: Drone Deploy, Pix4D, AgVault, Agisoft Photo Scan, Drone Mapper, Farm Lens, Inpho UAS Master, ENVI, Analist 2017 showed that all of them are based on connecting to the control panel of an unmanned aerial vehicle and can be used for optical field monitoring in original potato growing.