Estimate the Pre-Flowering Specific Leaf Area of Rice Based on Vegetation Indices and Texture Indices Derived from UAV Multispectral Imagery

Rice ranks among the most significant staple crops worldwide. Precise and dynamic monitoring of specific leaf area (SLA) provides essential information for evaluating rice growth and yield. While previous remote sensing studies on SLA estimation have primarily focused on crops such as wheat and soyb...

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Autori principali:	Jingjing Huang, Sunan Wang, Yuexia Pei, Quan Yin, Zhi Ding, Jianjun Wang, Weiling Wang, Guisheng Zhou, Zhongyang Huo
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-11-01
Serie:	Agriculture
Soggetti:	specific leaf area unmanned aerial vehicle machine learning rice vegetation indices texture indices
Accesso online:	https://www.mdpi.com/2077-0472/15/21/2293
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