A UAV-based spectral and textural retrieval framework for estimating aboveground carbon, nitrogen, and phosphorus concentrations in forage crops: species- and element-specific feature-mode performance

Smart Agricultural Technology一手来源 · 原始研究11月1日 · 周日阅读 0

核心看点

方法学论文，提出无人机光谱与纹理特征融合框架估算饲草碳氮磷，物种与元素特异性分析有新意，但属细分领域研究，公共影响有限。

关注点

该研究按饲草物种和元素分别比较光谱与纹理特征模式的估算效果，可为无人机遥感养分监测的特征选择提供参考，但结论适用性受试验物种与区域限制。

发布主体的原始资料；自述数据与结论仍以原文限定为准。

论文信息

Rang Ding / Chenjun Zhao / Gang Fu

Smart Agricultural Technology

DOI: 10.1016/j.atech.2026.102705

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智慧农业无人机饲草养分估算

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