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Игнат Николаевич Пеньшин


Today, the technologies of terrestrial and near earth remote sensing systems are moving into the phase of active development. This technology is designed to obtain detailed and accurate information about the environment in the immediate vicinity of the earth's surface. One of the key advantages of near-Earth remote sensing systems is the availability and high frequency of obtaining images and other field data with a high level of accuracy, which allows them to be used in various agricultural tasks.

The use of omnidirectional cameras in agriculture is a new way to capture high-quality and detailed images of the environment, as the 360 degree horizontal and 180 degree vertical view makes them a suitable tool for monitoring and analyzing agricultural processes such as crop growth, soil conditions and irrigation management.

In this paper, the use of omnidirectional cameras is considered in the context of integration with other technologies, such as machine learning algorithms for creating intelligent agricultural systems, as well as autonomous and automated devices for monitoring and processing agricultural land, allowing to optimize processes and increase yields. Analysis of the technology and evaluation of the quality indicators of omnidirectional cameras for agriculture will speed up the implementation of this solution and improve the efficiency and quality of field work in order to increase productivity.

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Land economics and policies


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