International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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YOLO-based Plant Detection and Counting for Precision Agriculture

Prof. Nikita Vairagade, Chetan Rathod, Pawan Surkar, Arpita Chamte, Dhanshri Pande

Abstract :

In the realm of agricultural applications, the imperative task of identifying and quantifying plants within plot photographs stands as a linchpin for endeavours such as yield estimation, crop monitoring, and resource optimization. In the present study, the YOLO (You Only Look Once) technique takes centre stage, meticulously applied to discern and enumerate plants in plot images. Employing a supervised learning procedure, the algorithm underwent training on the Robo-flow platform, presenting a sophisticated and automated solution for agricultural plant analysis, harnessing the prowess of machine learning. The methodology encompasses the acquisition of an extensive dataset featuring plot photos adorned with plants, each meticulously annotated with precise bounding boxes.

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