103 citations · 196 across the 13 of their papers we have counts for
5 papers · 1 filter
Machine Learning Techniques for Estimating Soil Moisture from Mobile Captured Images
Muhammad Riaz Hasib Hossain, Muhammad Ashad Kabir
Precise Soil Moisture (SM) assessment is essential in agriculture. By understanding the level of SM, we can improve yield irrigation scheduling which significantly impacts food pro…
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…
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging
Aishwarza Panday, Muhammad Ashad Kabir, Nihad Karim Chowdhury
Due to the limited availability and high cost of the reverse transcription-polymerase chain reaction (RT-PCR) test, many studies have proposed machine learning techniques for detec…