Most of the existtng vegetatton indices were developed for the satellite plaƞorms and, at the same ttme, didn’t consider their use for crop management. The development of a method of creattng measurement indices based on the results of the processing of remote sensing data obtained from UAVs is relevant, which is the purpose of the work. Experimental studies were carried out in 2017 in a long-term field stattonary of the Department of the Agrochemical and Agricultural products of NULES of Ukraine. For monitoring, the FC200 and GoPro HERO 4 iZ IR-cameras were used for opttcal and infrared bandwidths. The calculatton was carried out in the environment of MathCad. The method of developing the measuring vegetatton indices was suggested, which is based on the regression link analysis between the intensity of the color components and the result, which these components affect. When creattng vegetatton indices besides linear regression, we can consider and possible impact of the interactton factor. The vegetatton index was suggested for state determinatton of the conditton of the nitrogen nutritton, adapted for differenttal ferttlizing applicatton with the use of ground equipment. The introductton to the regression (vegetatton index) addittonal design parameter - the area of the horizontal projectton of the plants has the prospect for increased accuracy provided improvement of the method of identtficatton of plantattons.
remote monitoring of crops, UAV, unmanned aerial vehicles, vegetatton cover, spectral shoottng, MathCAD software.