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Designing and evaluating the use of crop signaling markers for fully automated and robust weed control technology

机译:设计和评估裁剪信号标志的使用,以全自动和鲁棒杂草控制技术

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The primary technological aspect that prevents the development of a fully automated and robust system for weed control in specialty row crops, like vegetables, is the lack of a reliable weed and crop plant detection system that can allow effective mechatronic removal of weeds growing between crop plants. In a weedy field with moderate to high weed density, existing robotic weeding machines become confused since they cannot interpret the complex natural scenes of weed-crop mixtures at higher weed densities. A novel solution to the this problem has been developed at the University of California, Davis, named Crop Signaling that provides reliable weed-crop differentiation in the field. Crop Signaling is a unique, machine-readable signaling technique that marks crop plants at planting. It creates optical signatures that are unique and significantly simplify and ensure the differentiation task. To be effective and commercially viable, the development of the Crop Signaling technology with unique opticalsignals is required to meet certain technological criteria: robust and applicable for use in an outdoor agricultural environment, sufficient signal-to-noise ratio to enable real-time signal detection while moving, satisfactory signal lifetime (i.e., environmental stability) of the optical signal, and minimal leakage of the applied material from crop plants to weeds and soil. This study focuses on designing and evaluating the use of Crop Signaling compounds and physical markers to achieve satisfactory signal detection and biodegradability.
机译:防止在特种行作物中杂草控制的杂草控制发展的主要技术方面是缺乏可靠的杂草和农作物植物检测系统,可以允许有效地去除作物植物之间生长的杂草。在一个适度到高杂草密度的杂草领域,现有的机器人除草机变得困惑,因为它们不能在较高杂草密度下解释杂草混合物的复杂自然场景。加利福尼亚大学戴维斯的命名庄信令的一个新问题已经在加利福尼亚大学开发了裁剪信号,为该领域提供可靠的杂草作物分化。裁剪信号是一种独特的机器可读信令技术,标志着种植植物。它创建了唯一的光学签名,并显着简化并确保差异化任务。为了有效且商业上可行,需要具有独特光学信号的作物信号技术的开发需要满足某些技术标准:强大,适用于户外农业环境,足够的信噪比以实现实时信号检测在光学信号的移动,令人满意的信号寿命(即,环境稳定性),以及将应用材料与作物植物的泄漏最小泄漏到杂草和土壤中。本研究侧重于设计和评估作物信号化合物和物理标记的使用,以实现令人满意的信号检测和生物降解性。

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