Vegetation indices in the assessment and management of soil fertility

Abstract

Spatial information technologies are deeply rooted in all spheres of human activity, including
agriculture. Today we're talking about smart, precise, digital farming. Soil fertility assessment,
field monitoring, yield forecasting, proper farming, soil fertility management include not only
the collection and analysis of soil data, but also collection spatial information. In GIS
Technologies, vejetatife indices provide information for precision farming, providing data on
crop growth and health. With the help of global positioning, it is possible to accurately
determine the location on the ground of each site, as well as monitor the development of crops
from sowing to harvesting, identify moisture and nutrient deficiencies in time, and identify
plant diseases. GIS technologies allow you to manage soil fertility and crop quality to the level
of private fields. The study area was irrigated soils in the northern part of the Imishli region of
the Republic of Azerbaijan, with an area of 3211.9 hectares. Important branches of agriculture
in the region are cotton growing and grain growing. When assessing and managing soil
fertility, we tried to use some vegetation indices, such as NDVI, MSAVI, NDRE, as a criterion for
assessing fertility. Spatial analysis of soil data helps in agricultural planning and helps to make
quick and correct decisions on soil fertility and land use management. Within the framework of
agricultural fields, GIS technology is used to apply soil fertilizers with certain standards in
accordance with the condition of the site, as well as for the proper organization of irrigation.