Citation

Hassan, Md Najmul and Zaman, Mukter and Goh, Vik Tor (2022) Chicken Disease Detection by Identifying Chicken Droppings. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

Taking care of chicken by manually for a big farm is not that easy. Chicken can be affected by many kinds of disease. To find out the disease before it spread among all chickens and give proper medical treatment is very important and also very sensitive. Disease also affects chicken’s digestive system which results in changing color of chicken droppings. By detecting chicken droppings using deep learning, it can easily identify chicken disease. In this study, we propose a solution based on the best real-time object detection algorithm You only look once version 7 (YOLOv7) to detect chicken disease by identifying chicken droppings so that farmers can aware of about disease affected chicken.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Deep learning, Poultry farm
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD4801-8943 Labor. Work. Working class > HD8039 By industry or trade Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	29 Dec 2022 01:23
Last Modified:	29 Dec 2022 01:23
URII:	http://shdl.mmu.edu.my/id/eprint/11066

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