Using GIS technologies to determine the weediness of agricultural crops in the example of the Akmola region

Abstract

Data from the PlanetScope remote sensing mission were used to determine the infestation of crops in the Akmola region. Data were obtained from 17 districts and two municipal cities. The statistical analysis of objects is shown, and the minimum, maximum, average, and standard deviation of the indicators of the studied sown areas in the Akmola region are revealed. Spring-summer and summer-autumn surveys of weed infestation of agricultural crops showed that despite the implementation of regular agrotechnical and chemical protective measures, the general condition of crops was determined as satisfactory (medium). The study shows that a complete database of information about agricultural, arable, and fallow fields could be easily formed with GIS technologies, and survey data of digitized crops in the Akmola region are available in real time for most users.