DEVELOPMENT AND IMPLEMENTATION OF METHODS OF DIFFERENTIATED APPLICATION OF FERTILIZERS IN THE FIELDS OF THE EPF KURAGINSKOYE OF THE FEDERAL RESEARCH CENTER KSC SB RAS BASED ON REMOTE SENSING DATA

The objective of the study is to develop methods for differentiated application of fertilizers to grain crops based on remote sensing data. Objectives: to develop methods for differentiated application of fertilizers to grain crops based on remote sensing data; to construct and verify fertility maps of agricultural lands of the Kuraginskoye Experimental Farm; to construct task maps for differentiated application of nitrogen fertilizers "by leaf" and intrasoil; to carry out differentiated application of nitrogen fertilizers "by leaf" on agricultural fields using the Tuman-3 self-propelled sprayer. The development, testing and implementation of methods for differentiated application of fertilizers to grain crops in the Kuraginskoye Experimental Farm of the KSC SB RAS were carried out. The developed author's methods are based on remote sensing data. For their implementation, software was created that allows for automatic construction of task maps for differentiated application of nitrogen fertilizers "by leaf" and intrasoil based on data obtained from satellites and unmanned aerial vehicles. Task maps for differentiated application of fertilizers in the fields of the Kuraginskoye experimental farm were constructed based on high-resolution spectral data (according to the Sentinel-2 satellite and MicaSense RedEdge-MX unmanned aerial vehicles). Intra-field variability of the studied agricultural lands was assessed. A method for constructing fertility maps based on high-resolution remote sensing data was developed. The fertility map was verified based on agrochemical analysis of soil samples. A high correlation was shown between the data on soil indicators and the values of the fertility level. The highest degree of correlation is between the value of the fertility level and the content of nitrate nitrogen (0.91). The correlation coefficient with the humus content is also quite high and is 0.8.