International Research Journal of Education and Technology

This paper addresses a system which can be implemented in agriculture process for weeding purpose. Weed removal is an important part of agriculture process and it is necessary because weed affects plant growth as well as fights with main plant for different factors such as space, nutrients, water and sunlight. Weeding is a crucial part of crop maintenance in agriculture, but it can be a time consuming and labor-intensive process. To address this challenge, we propose a mobile controlled weeding vehicle. The vehicle was equipped with sensors and camera that captures images from fields and microcontroller that transmitting data’s to operator’s system. Computer vision algorithms used to identify and locate weeds and this system was controlled by a mobile application that allows user to monitor and control the vehicle remotely. To ensure that the vehicle is effective at removing weeds, we implemented a control system that uses machine learning algorithms to optimize the weeding process. The mobile controlled weeding vehicle offers a convenient and efficient solution for farmers looking to weed the field with reduced their workload and this is a micro-volume weed cutting vehicle for early stage weed control.

Index terms—Agriculture automation, weed cutter, motion and path planning, precision agriculture.