Development of an autonomous navigan on agricultural robotic platform based on machine vision [electronic resource]

Includes bibliographic reference

In Egypt, management of crops still away from what is being used today by utilizing the advances of mechanical design capabilities. sensing and electronics technology. These technologies have been introduced in many places and recorded high accuracy in different field operations. So, an autonomous agricultural robotic platform (ARP) based on machine vision has been developed and constructed The ARP consisted of two main parts namely; 1) Power transmission and auto-guide system; and 2) Robotic platform. The experiments were carried out at department of agricultural engineering, faculty of agriculture, Kafrelsheikh University during 2014-2015. In this study, the experiments were conducted in laboratory to optimize the accuracy of ARP control using machine vision in term of the autonomous navigation and performance of the robot's guidance system. For evaluation the image processing technique, four different camera resolutions (l080 x 1920, 1944x2592, 2736 x3648, and 3240x4320 pixels) and three camera' heights (500, 700 and 1000 mm) have been used to measure the execution time for image processing steps

Summary in Arabic