King Saud University

Mansour Mohammed Alsulaiman

Mohamed Amine Mekhtiche

Ghulam Muhammad

Waleed Mohammad Albaqami

Nasser Khalid Alzamil

Muhannad Funaysan Alanazi

A system for detecting diseases among plants includes a mobile device such as a smartphone, table, or personal computer, and a mobile robot which sends photographs of diseased plants to the mobile device including a plant name, disease type and location of the plant. The mobile robot includes a power supply, housing unit, camera, navigation unit, GPS unit, wireless transmitter, and traction unit for mobility of the robot. A geared motor drives the traction unit, and is connected to a low-level controller for motion control. A high-level controller is connected to the camera, navigation unit, GPS unit, and programmed with a convolutional neural network (CNN) configured to process images taken by the camera and associate with each image a plant type, disease type, and location of where the image was taken. The CNN may be a you only look once (YOLO) model trained with images from a dataset.

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RIYADH, Saudi Arabia

Mansour Mohammed Alsulaiman