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Spectral predicting model of peanut leaf dry weight and nitrogen content in red soil upland
Updated：2026-06-17
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    • Spectral predicting model of peanut leaf dry weight and nitrogen content in red soil upland

    • “The aim of this study is to construct a spectral prediction model for the dry weight and nitrogen content of peanut leaves in red soil dryland. The research progress in the field of smart agriculture is introduced, and the research team has established a peanut growth parameter prediction system based on spectral vegetation index, providing a solution for precise cultivation and management of peanuts in red soil dryland.”
    • LI Yanda , HUANG Junbao , CAO Zhongsheng , SUN Binfeng , PENG Xinyi , XU Guanghao , ZHANG Zhibin , ZHOU Shuihua
    • Journal of China Agricultural University Vol. 31, Issue 8, Pages: 148-157(2026)

    • DOI： 10.11841/j.issn.1007-4333.2026.08.13     

      CLC：

    • Accepted：14 January 2026 ，

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