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Updated: May 10, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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通过结合DSSAT模型和使用蒙特卡洛马尔科夫链技术的遥感数据来估计米生长和预测产量

Yingbo Chen1, Siyu Wang1, Zhankui Xue2

  • 1Zhejiang A&F University, Lin'an, Hangzhou 311300, China.

Plants (Basel, Switzerland)
|April 26, 2025
PubMed
概括

利用数据同化将作物模型与遥感数据相结合,可以改善大米产量预测. 这种方法提高了叶面积指数 (LAI) 和植物积 (PNA) 的估计,有助于田间管理.

关键词:
农作物环境资源综合 米模型蒙特卡洛马尔科夫连锁技术的技术远程传感数据的数据.米米饭 米饭 米饭 米饭.

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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.
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