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Apparatus and Infield Evaluations of a Prototype Machine Vision System for Cotton Plant Internode Length Measurement

机译:用于棉花植株节间长度测量的原型机器视觉系统的设备和现场评估

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An on-the-go infield machine vision system was developed to measure internode length (i.e., the distance between main stem nodes) of cotton (Gossypium hirsutum L.) plants, which is a significant indicator of past water stress. An infield vehicle was developed to convey the machine vision system automatically across the crop canopy. This paper presents an evaluation of the devised system under a range of operational and field conditions. On average, the vision system's internode length detection rate ranged from 12 measurements per 100 plants for compact plants when the sun was directly overhead with respect to the camera, to 64 measurements per 100 plants for vigorous plants when the sunlight was perpendicular to the camera view angle. Imaging at night time using 850 nm near-infrared illumination resulted in internode length detection rates not significantly different from the most reliable daylight conditions. Both across-row and along-row operations of the system were evaluated, with the system yielding internode length measurements for groundspeeds up to 0.20 m/s for along-row operation. Visual occlusion of the main stem nodes by foliage and variations in natural lighting conditions were observed to be the principal reasons for internode lengths not being detected successfully for every plant. However, from the success rates observed, it is concluded that the system has the practical capability to map internode length across a field and hence, identify spatial trends in internode length from which trends in plant water stress can be inferred.
机译:开发了一种移动式田间机器视觉系统,以测量棉花(Gossypium hirsutum L.)植物的节间长度(即主茎节之间的距离),这是过去水分胁迫的重要指标。开发了一种野外车辆,以在整个作物冠层上自动传送机器视觉系统。本文介绍了在一系列操作和现场条件下对设计好的系统的评估。平均而言,视觉系统的节点间长度检测率范围为:当太阳直接位于相机上方时,紧凑型植物每100株植物进行12次测量;当阳光垂直于摄像机视图时,对于强壮的植物,每100种植物进行64次测量。角度。使用850 nm近红外光在夜间进行成像,导致节点间长度检测率与最可靠的日光条件没有显着差异。对系统的跨行和沿行操作进行了评估,该系统针对沿行操作产生的地面速度高达0.20 m / s的节点间长度进行了测量。观察到树叶对主要茎节的视觉遮挡和自然光照条件的变化是未能成功检测每种植物的节间长度的主要原因。但是,从观察到的成功率可以得出结论,该系统具有在整个田野上绘制节点间长度的实用功能,因此可以确定节点间长度的空间趋势,从而可以推断出植物水分胁迫的趋势。

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