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APPLE MATURITY DISCRIMINATION AND POSITION

机译:苹果成熟度的区分和位置

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摘要

The most crucial problem of apple harvesting robot is to get the exact location and the maturity degree of the target. A system of apple maturity discrimination and positioning based on the multi-spectral technology and laser triangulation ranging principle is researched. Signal transmission, signal reception, signal processing, the CPU processing and several PC components are involved in the system. The distance between the apple and the device was calculated according to principle of triangulation. Ripe red apple, unripe green apple, stems and leaves have different reflectivity to red and infrared beam. The different ratio of red and infrared signal can be used to identify whether an apple is ripe. The threshold used to judge whether an apple is ripe is an experiential interval, which is acquired by several experiments.
机译:苹果收割机器人最关键的问题是获得目标的确切位置和成熟度。研究了基于多光谱技术和激光三角测距原理的苹果成熟度判别定位系统。系统涉及信号传输,信号接收,信号处理,CPU处理和几个PC组件。苹果和设备之间的距离是根据三角测量原理计算的。成熟的红苹果,未成熟的青苹果,茎和叶对红色和红外线的反射率不同。红色和红外信号的比率不同可以用来识别苹果是否成熟。判断苹果是否成熟的阈值是一个经验间隔,可以通过几个实验获得。

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