Development of GPS-Based Multi-Channel Controllers for Research Plot Pesticide Applicators

繁荣 控制器(灌溉) 杀虫剂 频道(广播) 绘图(图形) 农药施用 计算机科学 全球定位系统 环境科学 模拟 数学 环境工程 电信 统计 农学 生物
作者
Ahmad Khalilian,Young-Ji Han,Joe Mari Maja,James C. Thomas,Michael W. Marshall,Ali Mirzakhani-Nafchi,José O. Payero,Daniel J. Anco
出处
期刊:Agricultural sciences [Scientific Research Publishing, Inc.]
卷期号:08 (04): 302-315 被引量:1
标识
DOI:10.4236/as.2017.84022
摘要

Pesticide efficacy tests are typically conducted in experimental plots which involve applying multiple chemical treatments at different application rates and timings. Utilizing a single boom pesticide applicator requires navigating to individual plots, applying a pesticide assigned to those plots and when all replications are completed, cleaning the equipment and reloading the next pesticide treatment into the tank. It usually takes several hours to accomplish this task, especially when the left hand side of a plot requires a different pesticide treatment than the right hand side. In order to facilitate application of pesticide treatments in experimental plots, two map-based controller systems were developed to drive multi-channel pesticide applicators. The Clemson “Multi-Channel Chemical Controllers” consist of solid-state relays controlled by custom software, solenoid valves, and GPS receivers. The first system can control up to 24 individual booms which could independently apply up to 24 different chemical treatments in each field plot area. The second system is the Clemson “Intelligent Farm Controller” (iFc), which could be connected to a variety of devices, such as spray and motor actuators. For this study, the controller was designed to handle four output pins to control four relays; however, it could easily be expanded to control more relays, if needed. On average, these systems reduced application times in test fields from six hours to 20 minutes, compared to single-boom applicators (p = 0.001), thereby reducing the time interval between treatment applications and significantly reducing the potential effect of adverse weather.
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