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John Rowe, Kamal Alameh, Sreten Askraba, Arie Paap, 沈燕楠, 阎恒忠, 宋菲君(译), 张斌(译). 鉴别野草和农作物的特异光电子引擎[J]. 物理, 2010, 39(10): 699-712.
引用本文: John Rowe, Kamal Alameh, Sreten Askraba, Arie Paap, 沈燕楠, 阎恒忠, 宋菲君(译), 张斌(译). 鉴别野草和农作物的特异光电子引擎[J]. 物理, 2010, 39(10): 699-712.
Novel photonic sensor engine for discrimination and detection of weeds and crops[J]. PHYSICS, 2010, 39(10): 699-712.
Citation: Novel photonic sensor engine for discrimination and detection of weeds and crops[J]. PHYSICS, 2010, 39(10): 699-712.

鉴别野草和农作物的特异光电子引擎

Novel photonic sensor engine for discrimination and detection of weeds and crops

  • 摘要: 文章作者在植物光谱识别的基础上提出了一种能够识别不同绿色植物的新颖光电子技术.该项技术运用于可见至近红外波段,在实验室环境和农田环境下,可以成功地采集和分析目标的光谱数据,对不同品种的绿色植物实施了精确识别.该项研究是由跨学科的西澳大利亚微光电子系统中心有限公司(the Western Australian Centre of Excellence for MicroPhotonic Systems, Pty Ltd,)和中国大恒集团公司共同研究完成的,其目标是开发国际上首台野草传感器,使得除草剂的使用定位精确,既可显著提高作物的产量,又可节约80%除草剂,更重要的是保护环境,节约用水,对于农业和生态都有重要意义.

     

    Abstract: In this paper, we present a novel photonic sensor engine that enables farmers to differentiate green plants one from another (“green from green”) based on spectral plant “fingerprinting”. This advanced photonic sensor engine operates in the visible to infra\|red wavelength range and enables the capture and analysis of spectral data for accurate discrimination and detection of weeds and crop in laboratory conditions as well as in the field.The sensor is developed through close interdisciplinary research collaboration between the Western Australian Centre of Excellence for MicroPhotonic Systems, Photonics Detection System, Pty Ltd, Australia, and China Daheng Group, China. The outcome of this collaboration is the development of world\|first weed sensors that enable site\|specific application of herbicides, leading to a significant improvement in crop yield, substantial herbicide savings of up to 80%, environmental benefits, less water usage, and significant improvements to profitability in the agricultural and other sectors.

     

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