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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 ofExcellence 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.
Based on the plant spectrum recognition, the authors propose a novel optoelectronic technology that can identify different green plants, which can be used in the visible to near-infrared band and can successfully acquire and analyze targets in the laboratory environment and farmland environment Spectral data for accurate identification of different varieties of green plants by the Interdisciplinary Western Australian Center of Excellence for MicroPhotonic Systems (Pty Ltd) and China Daheng Group The goal of the joint research is to develop the first grass weeds sensor in the world so that the precise positioning of herbicides can not only significantly increase the yield of crops but also save 80% of the herbicides, and more importantly, protect the environment, conserve water, For agriculture and ecology are of great significance.