WEEDS MAPPING USING MACHINE LEARNING METHODS IN THE GEOINFORMATION SYSTEM QGIS
Rubrics: AGRICULTURAL ECONOMICS AND POLICIES
Authors:
1.
Federal State Budgetary Scientific Institution "All-Russian Research Institute "Raduga"
2.
Federal State Budgetary Scientific Institution "All-Russian Research Institute "Raduga"
Type:
Article
eLocation:
Status:
Published
Received:
06.06.2025
Accepted:
15.06.2025
Published:
25.06.2025
Language:
Russian
Keywords:
QGIS, SAGA GIS
Abstract (English):
The result of assessing the degree of fouling of the agrocenosis according to data obtained using an unmanned aerial vehicle is shown. As a result of the survey of the reclaimed area, distribution zones and species composition of the segetal flora (weedy vegetation) of row crops were identified using the example of a potato field, which includes 13 species. haracteristics of weeds by biogroups according to agrobiological classification are given. By directly aerial photograph interpretation, a training sample of segetal flora areas was compiled to reclassify the original raster (orthophotomap). The machine learning method using the tools of the geoinformation system QGIS has developed a cartographic diagram of the segetal vegetation of the potato field. It was found that on an area of 0.458 hectares (27.6%) segetal flora is widespread.
The result of assessing the degree of fouling of the agrocenosis according to data obtained using an unmanned aerial vehicle is shown. As a result of the survey of the reclaimed area, distribution zones and species composition of the segetal flora (weedy vegetation) of row crops were identified using the example of a potato field, which includes 13 species. haracteristics of weeds by biogroups according to agrobiological classification are given. By directly aerial photograph interpretation, a training sample of segetal flora areas was compiled to reclassify the original raster (orthophotomap). The machine learning method using the tools of the geoinformation system QGIS has developed a cartographic diagram of the segetal vegetation of the potato field. It was found that on an area of 0.458 hectares (27.6%) segetal flora is widespread.
Keywords:
QGIS, SAGA GIS
QGIS, SAGA GIS
