Studies from Khwaja Yunus Ali University in the Area of Machine Learning Described (BDHusk: A comprehensive dataset of different husk species images as a component of cattle feed from different regions of Bangladesh)

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Elsevier

外文摘要：A new study on artificial intelligence is now available. According to news reporting originating from Khwaja Yunus Ali University by NewsRx correspondents, research stated, "This study presents a recently compiled dataset called ‘BDHusk,' which encompasses a wide range of husk images representing eight different husk species as a component of cattle feed sourced from different locales in Sirajganj, Bangladesh. The following are eight husk species: Oryza sativa, Zea mays, Triticum aestivum, Cicer arietinum, Lens culinaris, Glycine max, Lathyrus sativus, and Pisum sativum var. arvense L." The news journalists obtained a quote from the research from Khwaja Yunus Ali University: "Poiret. This dataset consists of a total of 2,400 original images and an additional 9,280 augmented images, all showcasing various husk species. Every single one of the original images was taken with the right backdrop and in enough amount of natural light. Every image was appropriately positioned into its respective subfolder, enabling a wide variety of machine learning and deep learning models to make the most effective use of the images. By utilizing this extensive dataset and employing various machine learning and deep learning techniques, researchers have the potential to achieve significant advancements in the fields of agriculture, food and nutrition science, environmental monitoring, and computer sciences. This dataset allows researchers to improve cattle feeding using data-driven methods."

外文关键词：

Khwaja Yunus Ali UniversityAsiaBangladeshCyborgsEmerging TechnologiesMachine Learning

出版年：

2024

DOI：

10.1016/j.dib.2023.110018

Robotics & Machine Learning Daily News

ISSN：

年,卷(期)：2024.(Feb.12)

参考文献量13