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LIDAR Based, Tree Row Volume Estimation for Phytosanitary Products Reduction in Fruit Trees Orchards

机译:基于LIDAR的果树果树植物检疫减量的行排量估算

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Many fruit orchards in Uruguay are small-scale producers, where a single sprayer is configured once a year and used for all the applications of the phytosanitary products. To conduct a successful application for ideal results, the broth concentration (the phytosanitary product is diluted in water) should be determined depending on the volume of vegetation of the fruit trees. In small orchards, this calibration is only done once per year, and is determined for the most voluminous trees in the orchard. This results in excessive doses of pesticides sprayed to all the other trees, that have lower vegetative volume. This excessive application not only has an increase in the cost of the fruits, but and can also pose potential risks for the environment and/or consumers. An adaptable system which can be used with common sprayer already employed in the orchards, capable of determining the Tree Row Volume (TRV) in real time and reducing the amount of product would be a solution to reduce phytosanitary application at a reduced cost. LIDAR (Light Detection and Ranging) technology can be used to measure length in the farm environment and has had a huge reduction in cost in the last few years, mainly for its use in autonomous cars. A prototype system was designed and its currently being tested in the field.
机译:乌拉圭的许多果园都是小规模生产者,每年配置一次喷雾器,并用于植物检疫产品的所有应用。为了成功应用以获得理想的结果,应根据果树的植被量确定肉汤浓度(将植物检疫产品稀释在水中)。在小果园中,此校准每年仅进行一次,并针对果园中最大的树木确定。这导致过量的农药喷洒到所有其他植被较少的树木上。这种过量的施用不仅增加了水果的成本,而且还可能对环境和/或消费者造成潜在的风险。能够与果园中已经采用的普通喷雾器一起使用的,能够实时确定树行体积(TRV)并减少产品量的适应性系统将是一种以降低的成本减少植物检疫应用的解决方案。 LIDAR(光检测和测距)技术可用于测量农场环境中的长度,并且在最近几年中,其成本已大大降低,主要用于自动驾驶汽车。设计了一个原型系统,目前正在现场进行测试。

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