首页> 外国专利> SYSTEMS AND METHODS FOR IDENTIFYING PESTS IN CROP-CONTAINING AREAS VIA UNMANNED VEHICLES BASED ON CROP DAMAGE DETECTION.

SYSTEMS AND METHODS FOR IDENTIFYING PESTS IN CROP-CONTAINING AREAS VIA UNMANNED VEHICLES BASED ON CROP DAMAGE DETECTION.

机译:基于农作物损伤检测的通过无人驾驶车辆识别农作物中有害生物的系统和方法。

摘要

In some embodiments, methods and systems of identifying at least one pest based on crop damage detection in a crop-containing area include an unmanned vehicle including at least one sensor configured to detect at least one type of pest damage on at least one crop in the crop-containing area and to capture pest damage data. An electronic database includes pest damage identity data associated with one or more crop-damaging pests, and a computing device communicates with the unmanned vehicle and the electronic database via a network. The unmanned vehicle transmits the captured pest damage data via the network to the computing device and, in response to receipt of the captured pest damage data from the unmanned vehicle, the computing device accesses the pest damage identity data on the electronic database to determine an identity of one or more pests responsible for the detected type of pest crop damage.
机译:在一些实施例中,基于在包含农作物的区域中的农作物损害检测来识别至少一种有害生物的方法和系统包括无人驾驶车辆,该无人驾驶车辆包括至少一个传感器,该至少一个传感器被配置为检测该农作物中至少一种农作物上的至少一种有害生物损害。包含农作物的区域并捕获有害生物的危害数据。电子数据库包括与一种或多种破坏农作物的害虫相关的害虫损害识别数据,并且计算设备通过网络与无人驾驶车辆和电子数据库通信。无人机通过网络将捕获的有害生物危害数据传输到计算设备,并且响应于从无人车辆接收到捕获的有害生物危害数据,计算设备访问电子数据库上的有害生物危害身份数据以确定身份导致检测到的有害生物作物损害类型的一种或多种有害生物中的一种。

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