{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:06:29Z","timestamp":1750309589811,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T00:00:00Z","timestamp":1729123200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,17]]},"DOI":"10.1145\/3723178.3723288","type":"proceedings-article","created":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T07:16:47Z","timestamp":1749194207000},"page":"830-837","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Poultry Disease Classification Using Fecal Image: A Fusion Approach"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3023-8457","authenticated-orcid":false,"given":"Md Sadi Al","family":"Huda","sequence":"first","affiliation":[{"name":"Artificial Intelligence Research &amp; Innovation Lab (AIRIL), Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2640-536X","authenticated-orcid":false,"given":"Adety","family":"Sarkar","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Research &amp; Innovation Lab (AIRIL), Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0612-6101","authenticated-orcid":false,"given":"Kazi","family":"Tanvir","sequence":"additional","affiliation":[{"name":"Vellore Institute of Technology, Vellore, Tamilnadu, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4732-5529","authenticated-orcid":false,"given":"Md Asraf","family":"Ali","sequence":"additional","affiliation":[{"name":"American International University-Bangladesh, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9019-9740","authenticated-orcid":false,"given":"Dip","family":"Nandi","sequence":"additional","affiliation":[{"name":"American International University-Bangladesh (AIUB), Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7510-3261","authenticated-orcid":false,"given":"Mohamed","family":"Haq","sequence":"additional","affiliation":[{"name":"Cape Breton University, Dhaka, Canada"}]}],"member":"320","published-online":{"date-parts":[[2025,6,6]]},"reference":[{"key":"e_1_3_3_1_2_2","unstructured":"2024. Chicken Population in Africa by Country. https:\/\/www.statista.com\/statistics\/1290057\/chicken-population-in-africa-by-country\/. Accessed: April 29 2024."},{"key":"e_1_3_3_1_3_2","unstructured":"n. d.. Coccidiosis in Poultry. https:\/\/www.msdvetmanual.com\/poultry\/coccidiosis-in-poultry\/coccidiosis-in-poultry. Accessed: April 29 2024."},{"key":"e_1_3_3_1_4_2","unstructured":"n. d.. Newcastle Disease. https:\/\/www.woah.org\/en\/disease\/newcastle-disease\/. Accessed: April 29 2024."},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","unstructured":"Engidaw Abebe and Getachew Amede. 2018. A Review on Poultry Coccidiosis. African Journal of Science and Technology 3 (2018) 1\u201312. 10.20372\/ajst.2018.3.1.76","DOI":"10.20372\/ajst.2018.3.1.76"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"A. Ali K. Morol M.\u00a0F. Mridha N. Fahad M.\u00a0S. Al\u00a0Huda and N. Ahmed. 2023. Exploring a Novel Machine Learning Approach for Evaluating Parkinson\u2019s Disease Duration and Vitamin D Level. International Journal of Advanced Computer Science & Applications 14 12 (2023).","DOI":"10.14569\/IJACSA.2023.0141265"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","unstructured":"Asma Ashraf and Muhammad Shah. 2014. Newcastle Disease: Present status and future challenges for developing countries. African journal of microbiology research 8 (01 2014) 411\u2013416. 10.5897\/AJMR2013.6540","DOI":"10.5897\/AJMR2013.6540"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","unstructured":"HO Aworinde S Adebayo AO Akinwunmi OM Alabi A Ayandiji AB Sakpere AK Oyebamiji O Olaide E Kizito and AJ Olawuyi. 2023. Poultry fecal imagery dataset for health status prediction: A case of South-West Nigeria. Data Brief 50 (2023) 109517. 10.1016\/j.dib.2023.109517","DOI":"10.1016\/j.dib.2023.109517"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","unstructured":"Ali Aydin. 2017. Development of an early detection system for lameness of broilers using computer vision. Computers and Electronics in Agriculture 136 (2017) 140\u2013146. 10.1016\/j.compag.2017.02.019","DOI":"10.1016\/j.compag.2017.02.019"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","unstructured":"MZ Degu and GL Simegn. 2023. Smartphone based detection and classification of poultry diseases from chicken fecal images using deep learning techniques. Smart Agricultural Technology 4 (2023) 100221. 10.1016\/j.atech.2023.100221","DOI":"10.1016\/j.atech.2023.100221"},{"key":"e_1_3_3_1_11_2","unstructured":"WOAH World\u00a0Organisation for Animal\u00a0Health. 2023. Newcastle disease. Retrieved April 7 2023 from WOAH - World Organisation for Animal Health."},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-9331-2_19"},{"key":"e_1_3_3_1_13_2","unstructured":"RW Gerhold. 2023. Coccidiosis in Poultry. Retrieved February 6 2023 from MSD Veterinary Manual."},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","unstructured":"Hadi\u00a0Tavakoli Gorji Shayan\u00a0Mohammadi Shahabi Amit Sharma et\u00a0al. 2022. Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses. Scientific Reports 12 (2022) 2392. 10.1038\/s41598-022-06379-1","DOI":"10.1038\/s41598-022-06379-1"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","unstructured":"Hafez\u00a0M. Hafez and Yasser\u00a0A. Attia. 2011. Avian influenza: etiology pathogenesis and interventions. Avian Pathology 40 5 (2011) 419\u2013427. 10.1080\/01652176.2011.605247","DOI":"10.1080\/01652176.2011.605247"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","unstructured":"Pengcheng He Zhihui Chen Hui Yu Khan Hayat Yu He Jie Pan and Hui Lin. 2022. Research Progress in the Early Warning of Chicken Diseases by Monitoring Clinical Symptoms. Appl. Sci. 12 (2022) 5601. 10.3390\/app12115601","DOI":"10.3390\/app12115601"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0N. Hossain N. Fahad R. Ahmed A. Sen M.\u00a0S. Al\u00a0Huda and M.\u00a0I. Hossen. 2024. Preventing Student\u2019s Mental Health Problems with the Help of Data Mining. International Journal of Computing 23 1 (2024) 101\u2013108. 10.47839\/ijc.23.1.3441","DOI":"10.47839\/ijc.23.1.3441"},{"key":"e_1_3_3_1_18_2","unstructured":"Kausthub Kannan. N\/A. Poultry Diseases Detection. (N\/A). https:\/\/www.kaggle.com\/datasets\/kausthubkannan\/poultry-diseases-detection"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/IEIT56384.2022.9967850"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","unstructured":"Guoming Li Richard Gates and Brett Ramirez. 2023. An On-Site Feces Image Classifier System for Chicken Health Assessment: A Proof of Concept. Applied Engineering in Agriculture 39 (2023) 417\u2013426. 10.13031\/aea.15607","DOI":"10.13031\/aea.15607"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","unstructured":"Yajie Liu Md\u00a0Gapar Johar and Asif Iqbal\u00a0Hajamydeen. 2023. Poultry disease early detection methods using deep learning technology. Indonesian Journal of Electrical Engineering and Computer Science 32 (2023) 1712\u20131723. 10.11591\/ijeecs.v32.i3.pp1712-1723","DOI":"10.11591\/ijeecs.v32.i3.pp1712-1723"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","unstructured":"Dina Machuve Emeka Nwankwo Neema Mduma and John Mbelwa. 2022. Poultry diseases diagnostics models using deep learning. Frontiers in Artificial Intelligence 5 (2022) 733345. 10.3389\/frai.2022.733345","DOI":"10.3389\/frai.2022.733345"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","unstructured":"Hope Mbelwa Jimmy Mbelwa and Dina Machuve. 2021. Deep Convolutional Neural Network for Chicken Diseases Detection. International Journal of Advanced Computer Science and Applications 12 (2021). 10.14569\/IJACSA.2021.0120295","DOI":"10.14569\/IJACSA.2021.0120295"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","unstructured":"Richard\u00a0P. Mramba and Peter\u00a0A. Mwantambo. 2024. The impact of management practices on the disease and mortality rates of broilers and layers kept by small-scale farmers in Dodoma urban district Tanzania. Heliyon 10 8 (Apr 2024) e29624. 10.1016\/j.heliyon.2024.e29624","DOI":"10.1016\/j.heliyon.2024.e29624"},{"key":"e_1_3_3_1_25_2","unstructured":"C. Mulroy. 2023. Is Chicken Red Meat? Here are all the (fowl) details on poultry consumption. USA Today (2023). https:\/\/www.usatoday.com\/story\/news\/2023\/10\/24\/is-chicken-meat\/71057695007\/ Accessed: 29 April 2024."},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"publisher","unstructured":"Caroline Okinda Minghao Lu Lili Liu Imani Nyalala Caleb Muneri Jinhong Wang Hongying Zhang and Ming Shen. 2019. A machine vision system for early detection and prediction of sick birds: A broiler chicken model. Biosystems Engineering 188 (2019) 229\u2013242. 10.1016\/j.biosystemseng.2019.09.015","DOI":"10.1016\/j.biosystemseng.2019.09.015"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","unstructured":"H.\u00a0L. Shivaprasad. 2000. Fowl typhoid and pullorum disease. Rev Sci Tech 19 2 (Aug 2000) 405\u2013424. 10.20506\/rst.19.2.1222","DOI":"10.20506\/rst.19.2.1222"},{"key":"e_1_3_3_1_28_2","unstructured":"Khushi Srivastava and Parth Pandey. 2023. Deep Learning Based Classification of Poultry Disease. International Journal of Automation and Smart Technology (2023). https:\/\/api.semanticscholar.org\/CorpusID:265545972"},{"key":"e_1_3_3_1_29_2","unstructured":"S. Suganyadevi V. Seethalakshmi and K. Balasamy. 2022. A Review on Deep Learning in Medical Image Analysis. International Journal of Multimedia Information Retrieval (2022). https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC8417661\/ Accessed: 29 April 2024."},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-7402-1_64"},{"key":"e_1_3_3_1_31_2","unstructured":"SVA. [n.d.]. Salmonella in poultry. n.d. Retrieved from SVA."},{"key":"e_1_3_3_1_32_2","unstructured":"K. Tanvir S.\u00a0A. Tanim M.\u00a0S.\u00a0A. Huda A.\u00a0I. Jony M.\u00a0S. Kabir R. Damodharan and M.\u00a0K. Haq. 2024. Enhancing Early-Stage Detection of Melanoma using a Hybrid BiTDense. TWIST 19 2 (2024) 298\u2013305."},{"key":"e_1_3_3_1_33_2","unstructured":"K. Tanvir S.\u00a0A. Tanim M.\u00a0S.\u00a0A. Huda A.\u00a0I. Jony M.\u00a0S. Kabir R. Damodharan and M.\u00a0K. Haq. 2024. Enhancing Early-Stage Detection of Melanoma using a Hybrid BiTDense. TWIST 19 2 (2024) 298\u2013305. https:\/\/twistjournal.net\/twist\/article\/view\/249"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"publisher","unstructured":"Widyawati Widyawati and Wawan Gunawan. 2022. Early Detection of Sick Chicken Using Artificial Intelligence. Teknika 18 2 (2022) 136. 10.36055\/tjst.v18i2.17337","DOI":"10.36055\/tjst.v18i2.17337"},{"key":"e_1_3_3_1_35_2","unstructured":"SD Yeakel. 2019. Pullorum Disease in Poultry. Retrieved October 3 2019 from MSD Veterinary Manual."}],"event":{"name":"ICCA 2024: 3rd International Conference on Computing Advancements","acronym":"ICCA 2024","location":"Dhaka Bangladesh"},"container-title":["Proceedings of the 3rd International Conference on Computing Advancements"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723178.3723288","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3723178.3723288","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:56:47Z","timestamp":1750298207000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723178.3723288"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,17]]},"references-count":34,"alternative-id":["10.1145\/3723178.3723288","10.1145\/3723178"],"URL":"https:\/\/doi.org\/10.1145\/3723178.3723288","relation":{},"subject":[],"published":{"date-parts":[[2024,10,17]]},"assertion":[{"value":"2025-06-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}