Study monitors agricultural land use and identifies crops using remote sensing and AI, indicating potential improvements in farming practices.
The paper proposes to build a system to monitor agricultural land use based on multispectral satellite images. A set of calculated vegetation indexes is used to detect vegetation areas. The same vegetation indexes act as primary data for identifying agricultural crops using a deep learning neural network.
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Grishkin et al. (2026) studied this question.
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