{"title":"Development and Evaluation of an Optical Sensing System for Detection of Herbicide Spray Droplets","authors":"Yanbo Huang, Wei Ma, D. Fisher","doi":"10.4236/AIT.2021.111001","DOIUrl":null,"url":null,"abstract":"Real time monitoring of herbicide spray droplet drift is important for \ncrop production management and environmental protection. Existing spray droplet \ndrift detection methods, such as water-sensitive paper and tracers of \nfluorescence and Rubidium chloride, are time-consuming and laborious, and the \naccuracies are not high in general. Also, the tracer methods indirectly \nquantify the spray deposition from the concentration of the tracer and may \nchange the drift characteristics of the sprayed herbicides. In this study, a \nnew optical sensor system was developed to directly detect the spray droplets \nwithout the need to add any tracer in the spray liquid. The system was \nprototyped using a single broadband programmable LED light source and a near \ninfrared sensor containing 6 broadband spectral detectors at 610, 680, 730, \n760, 810, and 860 nm to build a detection system for monitoring and analysis of \nherbicide spray droplet drift. A rotatory structure driven by a stepper motor \nin the system was created to shift the droplet capture line going under the \noptical sensor to measure and collect the spectral signals that reflect spray \ndrift droplets along the line. The system prototype was tested for detection of \nsmall (Very Fine and Fine), medium (Medium), and large (Coarse) droplets within \nthe droplet classifications of the American Society of Agricultural and \nBiological Engineers. Laboratory testing results indicated that the system \ncould detect the droplets of different sizes and determine the droplet \npositions on the droplet capture line with 100% accuracy at the wavelength of \n610 nm selected from the 6 bands to detect the droplets.","PeriodicalId":69922,"journal":{"name":"物联网(英文)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"物联网(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/AIT.2021.111001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Real time monitoring of herbicide spray droplet drift is important for
crop production management and environmental protection. Existing spray droplet
drift detection methods, such as water-sensitive paper and tracers of
fluorescence and Rubidium chloride, are time-consuming and laborious, and the
accuracies are not high in general. Also, the tracer methods indirectly
quantify the spray deposition from the concentration of the tracer and may
change the drift characteristics of the sprayed herbicides. In this study, a
new optical sensor system was developed to directly detect the spray droplets
without the need to add any tracer in the spray liquid. The system was
prototyped using a single broadband programmable LED light source and a near
infrared sensor containing 6 broadband spectral detectors at 610, 680, 730,
760, 810, and 860 nm to build a detection system for monitoring and analysis of
herbicide spray droplet drift. A rotatory structure driven by a stepper motor
in the system was created to shift the droplet capture line going under the
optical sensor to measure and collect the spectral signals that reflect spray
drift droplets along the line. The system prototype was tested for detection of
small (Very Fine and Fine), medium (Medium), and large (Coarse) droplets within
the droplet classifications of the American Society of Agricultural and
Biological Engineers. Laboratory testing results indicated that the system
could detect the droplets of different sizes and determine the droplet
positions on the droplet capture line with 100% accuracy at the wavelength of
610 nm selected from the 6 bands to detect the droplets.
除草剂雾滴漂移的实时监测对作物生产管理和环境保护具有重要意义。现有的喷雾液滴漂移检测方法,如水敏纸、荧光示踪剂、氯化铷示踪剂等,耗时费力,一般精度不高。此外,示踪剂方法通过示踪剂的浓度间接量化喷雾沉积,并可能改变喷洒除草剂的漂移特性。在本研究中,开发了一种新的光学传感器系统,可以直接检测喷雾液滴,而无需在喷雾液中添加任何示踪剂。该系统采用单宽带可编程LED光源和包含6个610、680、730、760、810和860 nm宽带光谱探测器的近红外传感器,构建了除草剂喷雾液滴漂移监测与分析的检测系统。在系统中设计了一个由步进电机驱动的旋转结构,用于移动光学传感器下的液滴捕获线,以测量和收集沿线反射喷雾漂移液滴的光谱信号。在美国农业和生物工程师协会的液滴分类中,对系统原型进行了小液滴(Very Fine and Fine)、中液滴(medium)和大液滴(Coarse)的检测测试。实验室测试结果表明,该系统在检测液滴的6个波段中选择610 nm波长,可以检测不同大小的液滴,并以100%的准确率确定液滴在液滴捕获线上的位置。