The technology for detecting weeds in agricultural crops based on vegetation index VARI (Planetscope)
Автор: Erunova Marina G., Pisman Tamara I., Shevyrnogov Anatoliy P.
Журнал: Журнал Сибирского федерального университета. Серия: Техника и технологии @technologies-sfu
Статья в выпуске: 3 т.14, 2021 года.
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The aim of the work is to develop techniques for detecting weediness in agricultural crops based on the use of the VARI vegetation index, calculated from the PlanetScope satellite data. The territories of the Krasnoyarsk Agricultural Research Institute of the Federal Research Center of the Krasnoyarsk Science Center of SB RAS near the village Minino (Central Siberia, Krasnoyarsk Region) were used as the object of the research. To calculate the vegetation index VARI of grain crops, the algorithm for receiving and processing PlanetScope satellite data was developed. On its basis, a map of the spatial distribution of the VARI index for wheat crops with various degrees of weediness was made. According to the satellite data of PlanetScope (VARI), possibility to interpret the areas of wheat sowing with a high and low degree of weediness during the growing season is shown. It was revealed that the VARI value of wheat crops with a low degree of infestation is greater than the VARI value of wheat crops with a high degree of infestation.
Algorithm, wheat, crops weediness
Короткий адрес: https://sciup.org/146282226
IDR: 146282226 | DOI: 10.17516/1999-494X-0314
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