118 citations · 577 across the 24 of their papers we have counts for
5 papers · 1 filter
Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis
Rabin Dulal, Lihong Zheng, Muhammad Ashad Kabir +4
You Only Look Once (YOLO) is a single-stage object detection model popular for real-time object detection, accuracy, and speed. This paper investigates the YOLOv5 model to identify…
A Systematic Review of Machine Learning Techniques for Cattle Identification: Datasets, Methods and Future Directions
Md Ekramul Hossain, Muhammad Ashad Kabir, Lihong Zheng +3
Increased biosecurity and food safety requirements may increase demand for efficient traceability and identification systems of livestock in the supply chain. The advanced technolo…
Understanding the Effect of Smartphone Cameras on Estimating Munsell Soil Colors from Imagery
Ricky Sinclair, Muhammad Ashad Kabir
The Munsell soil color chart (MSCC) is a in laboratories under controlled conditions. To support an appbased solution, this paper explores three research areas including: (i) ident…
Smartphone Apps for Tracking Food Consumption and Recommendations: Evaluating Artificial Intelligence-based Functionalities, Features and Quality of Current Apps
Sabiha Samad, Fahmida Ahmed, Samsun Naher +4
The advancement of artificial intelligence (AI) and the significant growth in the use of food consumption tracking and recommendation-related apps in the app stores have created a…
Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations
Ayesha Siddiqua, Muhammad Ashad Kabir, Tanzina Ferdous +2
In this technologically advanced era, with the proliferation of artificial intelligence, many mobile apps are available for plant disease detection, diagnosis, and treatment, each…