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Spot Spraying of Citrus Tree Canopies for Controlling Psyllids

机译:柑橘树檐篷喷射用于控制腹股沟

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Since the Asian citrus psyllid Diaphorina citri, vector of the Huanglongbing (HLB) disease, feeds primarily on young leaf flushes, it was hypothesized that applying pesticides on only new leaves could mitigate the impact of pesticide loading on citrustrees. An automated technique capable of recognizing new leaves and spraying the pesticide only on those targets would be of great interest to growers by making the spray applications economical and environmentally sustainable. A sensing system was developed that could differentiate new (immature) from old (mature) leaves on citrus tree canopies, based on spectral reflectance characteristic of the leaves. Based on preliminary results, a laboratory test stand was built consisting of a four-band active optic sensor, control box and spray system components. Using the spectral reflectance data, various vegetative indices were calculated and the utility of each index for differentiating young and old leaves was investigated. The control box and its algorithm, managed different tasks, e.g., communication with the sensor, computation of the vegetation indices and operation of the solenoid-controlled spray nozzles. Series of tests were carried out to evaluate the performance of the system under various static and dynamic conditions. Six of the eleven different vegetation indices used for the test were able to differentiate new from old leaves. Normalized Difference Vegetation Index (NDVI-870) gave the best results in both static and dynamic tests. The orientation of the sensor also provided a significant effect on target identification of the leaves but mounting it perpendicular to the tree detected a higher number of new leaves than moimting it at an angle. This paper reports on the development of the system and shows the performance of the system under various operating conditions.
机译:由于亚洲柑橘木虱柑橘木虱的黄龙病(HLB)疾病的载体,对年轻的叶冲主要是饲料,有人推测只新叶施用农药可以减轻农药负荷对citrustrees的影响。一个能够识别新叶,只有在这些目标上喷洒农药的自动化技术将通过使喷雾应用经济和环境可持续发展是非常感兴趣的种植者。传感系统的开发,可以从旧的(成熟)对柑橘树冠树叶区分新(不成熟)的基础上,树叶的光谱反射特性。基于初步结果,实验室试验台建由四波段有源光学传感器,控制箱和喷雾系统组件。使用光谱反射率数据,计算出各种营养指标和各指标用于区分年轻人和老叶的效用进行了研究。控制箱和它的算法,管理不同的任务,例如,与传感器通信,所述螺线管控制的喷雾喷嘴的植被指数和操作的计算。测试系列进行了评估系统的各种静态和动态条件下的性能。用于测试的11个不同植被指数的六大能够从老叶新的分化。归一化植被指数(NDVI-870),对静态和动态测试的最好成绩。传感器的取向也设置在叶片的目标识别一个显著的效果,但其安装在垂直于树检测到更高数量的新叶的比以一定角度moimting它。本文对系统和显示系统的各种操作条件下的性能的发展报告。

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