Cannabis Seed Variant Detection using Faster R-CNN

arXiv:2403.10722v1 Announce Type: new
Abstract: Analyzing and detecting cannabis seed variants is crucial for the agriculture industry. It enables precision breeding, allowing cultivators to selectively enhance desirable traits. Accurate identification of seed variants also ensures regulatory compliance, facilitating the cultivation of specific cannabis strains with defined characteristics, ultimately improving agricultural productivity and meeting diverse market demands. This paper presents a study on cannabis seed variant detection by employing a state-of-the-art object detection model Faster R-CNN. This study implemented the model …

abstract agriculture arxiv cannabis cnn compliance cs.cv detection faster identification industry precision productivity r-cnn regulatory regulatory compliance seed type variants