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Remote sensing of crop growth characteristics in greenhouses

机译:温室作物生长特征的遥感

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Remote sensing of the crop growth and status monitoring in vegetables was conducted in this study by using multi-spectral imaging; and a plant-oriented sensing algorithm based on its physiological status was developed. The effective absorption wavelength bands for chlorophyll and moisture contents were evaluated, and image processing algorithms were developed to convert the images at effective wavelengths into a cubic information structure, in which spatial variation as well as spectral absorption was well processed. Experiments regarding the influence of water stress on the growth status of Pak-choi Chinese cabbage were conducted in a phytotron. The analysis of chlorophyll content and leaf moisture content distributions showed a great potential applications in monitoring the growth of vegetables.
机译:在这项研究中,使用多光谱成像技术对蔬菜的作物生长进行了遥感监测,并进行了状态监测。并基于其生理状态开发了一种面向植物的感知算法。评估了叶绿素和水分含量的有效吸收波段,并开发了图像处理算法,将有效波长下的图像转换为立方信息结构,在其中对空间变化和光谱吸收进行了很好的处理。在光电子加速器中进行了水分胁迫对白菜大白菜生长状况影响的实验。叶绿素含量和叶片水分含量分布的分析显示出监测蔬菜生长的巨大潜力。

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