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Design and simulation of crop monitoring robot for green house

机译:温室作物监控机器人的设计与仿真

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Incidence of disease in horticultural crops is one of the important problems affecting the production of fruits, vegetables and flowers. Regular monitoring of crops for early diagnosis and treatment with pesticides or removal of the affected crop is some of the solution to minimize the crop loss. Monitoring of the crops by human labour is costly, time consuming, error prone due to insufficient knowledge of the disease and highly repetitive at different stages of crop growth. These needs have motivated to design a line following mobile robot with vision sensors for navigation across the field for disease identification in a green house. The robot has been designed and simulated in an open source software known as Virtual Robot Experimental Platform (V-REP) with experimental field of 40 crops. Programming for navigation is done in Lua scripting tool which is embedded with the V-REP software. Capturing of images has been performed using camera. Processing of images for identification of disease and its representation in a Graphical User Interface (GUI) has been done using an algorithm in MATLAB R2011B which interacts with V-REP tool through socket communication. Texture based analysis has been done to identify the diseased crops among the healthy crops in the simulated field setup.
机译:园艺作物中的疾病发病率是影响水果,蔬菜和花卉生产的重要问题之一。定期监测农作物以进行早期诊断和农药处理或去除受影响的农作物是减少农作物损失的一些解决方案。通过人工监测农作物成本高,耗时,由于对疾病的了解不足而容易出错,并且在农作物生长的不同阶段具有高度重复性。这些需求促使人们设计了一条跟随视觉传感器的移动机器人生产线,该机器人具有视觉传感器,可在整个田野中导航以识别温室中的疾病。该机器人已经在称为虚拟机器人实验平台(V-REP)的开源软件中进行了设计和仿真,该实验场有40种农作物。导航编程是在Va-REP软件内置的Lua脚本工具中完成的。已使用相机进行图像捕捉。已经使用MATLAB R2011B中的算法(通过套接字通信与V-REP工具进行交互)对用于识别疾病的图像进行处理以及在图形用户界面(GUI)中进行表示。已经进行了基于纹理的分析,以在模拟田间设置中识别健康作物中的病害作物。

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