| dc.description.abstract |
The study is devoted to intelligent data processing systems that ensure effective
monitoring of agroecosystems using unmanned aerial vehicles. The purpose of the study is to
determine the features of data collection, processing, interpretation and visualization in UAV
monitoring systems of agroecosystems, as well as to clarify their significance for increasing the
efficiency of agricultural production management. During the scientific study, general scientific
methods of cognition were used, in particular analysis, synthesis, comparison, generalization,
systematization and predictive methods. The results of the study show that intelligent data processing
systems for UAV monitoring form a holistic digital circuit of monitoring the agroecosystem, within
which the emphasis is placed on a consistent combination of the stages of collection, processing,
interpretation and visualization of information. It was investigated that modern data collection is no
longer limited to aerial photography, but includes the selection of a platform, sensor equipment, flight
planning, calibration, georeferencing, as well as the integration of aerial data with satellite and
ground measurements. It is shown that the most promising is the transition from irregular to
continuous monitoring, which involves continuous collection of field data. The stage of processing
the collected information converts the data collected by sensors into understandable information that
can be processed by agricultural specialists for further decision-making. The conclusion is made
about the importance of methods for photo analysis, plant condition assessment, computer training
to find patterns, the use of smart programs, digital maps and online processing of large amounts of
data for assessing plant condition, detecting diseases, stress, decline, predicting yield and spatial
zoning of fields. Today, the obtained data is not just shown on the map, but also combined with
convenient screens with indicators, electronic maps and systems that help people make decisions. |
uk_UA |