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Updated: Jun 27, 2026

Remote Sensing Evaluation of Two-spotted Spider Mite Damage on Greenhouse Cotton
05:03

Remote Sensing Evaluation of Two-spotted Spider Mite Damage on Greenhouse Cotton

Published on: April 28, 2017

烟草叶病的分类基于多来源遥感数据.

Ke Chen1, Jian Guo2, Linyi Liu1

  • 1State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.

Frontiers in plant science
|February 20, 2026
PubMed
概括

这项研究引入了一种使用多来源数据的强大烟草叶疾病分类方法,达到88.7%的准确性. 该方法结合了超光谱数据,叶面积指数和叶绿素含量,以改善疾病评估.

关键词:
连续波形变换连续波形变换.超光谱反射率数据的数据随机的森林随机的森林远程传感是一种遥感技术.烟草的叶子烟草的叶子

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Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.