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Abstract <p>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.</p>

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Agricultural Land Monitoring and Crop Identification Using Remote Sensing Data and Deep Learning Neural Network

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • V. M. Grishkin,
  • S. I. Karimov

摘要

Abstract

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.