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OBSCURANT EMISSION TO ASSIST IMAGE FORMATION TO AUTOMATE AGRICULTURAL MANAGEMENT AND TREATMENT

机译:蒙昧的排放协助图像形成自动化农业管理和治疗

摘要

Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include calculating an amount of light originating from a light source sensed at a location in which an agricultural object is interposed between the light source and an image capture device, causing emission of an obscurant, and directing the obscurant to a region interposed between the light source and the agricultural object.
机译:各种实施例一般涉及计算机视觉和自动化,以自主识别和递送应用于对象的对象,数据科学和数据分析,包括机器学习,深度学习和基于计算机的人工智能的其他学科,以便于识别更具体地,对物体和机器人和移动技术的处理,更具体地,传送交付系统,以便用于识别和施加的农业递送系统,例如,对已识别的农业物体进行农业治疗。在一些示例中,一种方法可以包括计算源自在光源和图像捕获装置之间插入的位置处感测的光源的光的光量,导致蒙昧的发射,并引导蒙昧主义插入光源和农业物体之间的区域。

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