الفهرس 
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Abstract
The experiments were carried out at Department of Agricultural Engineering, Faculty of Agriculture, Kafrelsheikh University during 2011-2015 and included two main parts. In the first part, the experiments were conducted to optimize the accuracy of Agricultural Robotic Platform (ARP) control using machine vision in term of the autonomous navigation and performance of the robot’s guidance system. In second part, the ARP has been evaluated in term of its spraying accuracy under different levels of camera resolutions, distances between nozzle and camera and camera heights. Results showed that the robotic platform’ guidance system with machine vision was able to adequately distinguish the path and resisted image noise and did better than human operators for getting less lateral offset error. Also, results indicated that best (minimum) flight time was 9.67 millisecond at 70 mm spray height and 5 bar spray pressure with nozzle size of 5mm. best execution time of image processing was 0.389 second, which obtained at camera height of 500 mm and 1080×1920 pixel camera resolution.