{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T18:14:06Z","timestamp":1764785646086,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":32,"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\/3723178.3723294","type":"proceedings-article","created":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T07:16:47Z","timestamp":1749194207000},"page":"874-881","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Potato Diseases detection using Inception-BiT with Explainable AI"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7022-4187","authenticated-orcid":false,"given":"Md. Sayem","family":"Kabir","sequence":"first","affiliation":[{"name":"Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6054-7445","authenticated-orcid":false,"given":"Md Nure Alam","family":"Nadim","sequence":"additional","affiliation":[{"name":"Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5231-3432","authenticated-orcid":false,"given":"Sharia Arfin","family":"Tanim","sequence":"additional","affiliation":[{"name":"Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3309-4348","authenticated-orcid":false,"given":"Tasnim Sultana","family":"Sintheia","sequence":"additional","affiliation":[{"name":"Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0612-6101","authenticated-orcid":false,"given":"Kazi","family":"Tanvir","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Vellore Institute of Technology, Vellore, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9255-6708","authenticated-orcid":false,"given":"Muhibul Haque","family":"Bhuyan","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, American International University-Bangladesh, Dhaka, Bangladesh"}]}],"member":"320","published-online":{"date-parts":[[2025,6,6]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"Dimas\u00a0Firmanda Al\u00a0Riza Tetsuhito Suzuki Yuichi Ogawa and Naoshi Kondo. 2017. Diffuse reflectance characteristic of potato surface for external defects discrimination. Postharvest Biology and Technology 133 (2017) 12\u201319.","DOI":"10.1016\/j.postharvbio.2017.07.006"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICISS49785.2020.9316021"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Ekaba Bisong and Ekaba Bisong. 2019. Google colaboratory. Building machine learning and deep learning models on google cloud platform: a comprehensive guide for beginners (2019) 59\u201364.","DOI":"10.1007\/978-1-4842-4470-8_7"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-7695-6"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Kulendu\u00a0Kashyap Chakraborty Rashmi Mukherjee Chandan Chakroborty and Kangkana Bora. 2022. Automated recognition of optical image based potato leaf blight diseases using deep learning. Physiological and Molecular Plant Pathology 117 (2022) 101781.","DOI":"10.1016\/j.pmpp.2021.101781"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Robert\u00a0G de Luna Elmer\u00a0P Dadios Argel\u00a0A Bandala and Ryan Rhay\u00a0P Vicerra. 2019. Size classification of tomato fruit using thresholding machine learning and deep learning techniques. AGRIVITA Journal of Agricultural Science 41 3 (2019) 586\u2013596.","DOI":"10.17503\/agrivita.v41i3.2435"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/CCWC57344.2023.10099162"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Utpal Handique RF Zhang ZX Zhang ZW Feng QH Sun and Jian Wu. 2022. First report of Streptomyces stelliscabiei causing potato common scab in Guizhou Province China. Plant Disease 106 1 (2022) 311.","DOI":"10.1094\/PDIS-06-21-1242-PDN"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Chaojun Hou Jiajun Zhuang Yu Tang Yong He Aimin Miao Huasheng Huang and Shaoming Luo. 2021. Recognition of early blight and late blight diseases on potato leaves based on graph cut segmentation. Journal of Agriculture and Food Research 5 (2021) 100154.","DOI":"10.1016\/j.jafr.2021.100154"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"crossref","unstructured":"Sohaib Ismail Bo Jiang Zohreh Nasimi M Inam-ul Haq Naoki Yamamoto Andrews Danso\u00a0Ofori Nawab Khan Muhammad Arshad Kumail Abbas and Aiping Zheng. 2020. Investigation of Streptomyces scabies causing potato scab by various detection techniques its pathogenicity and determination of host-disease resistance in potato germplasm. Pathogens 9 9 (2020) 760.","DOI":"10.3390\/pathogens9090760"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_29"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","unstructured":"Jan Kopecky Daria Rapoport Ensyeh Sarikhani Adam Stovicek Tereza Patrmanova and Marketa Sagova-Mareckova. 2021. Micronutrients and soil microorganisms in the suppression of potato common scab. Agronomy 11 2 (2021) 383.","DOI":"10.3390\/agronomy11020383"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"Sergey\u00a0Alekseevich Korchagin Sergey\u00a0Timurovich Gataullin Aleksey\u00a0Viktorovich Osipov Mikhail\u00a0Viktorovich Smirnov Stanislav\u00a0Vadimovich Suvorov Denis\u00a0Vladimirovich Serdechnyi and Konstantin\u00a0Vladimirovich Bublikov. 2021. Development of an optimal algorithm for detecting damaged and diseased potato tubers moving along a conveyor belt using computer vision systems. Agronomy 11 10 (2021) 1980.","DOI":"10.3390\/agronomy11101980"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Yogesh Kumar Rupinder Singh Manu\u00a0Raj Moudgil and Kamini. 2023. A systematic review of different categories of plant disease detection using deep learning-based approaches. Archives of Computational Methods in Engineering 30 8 (2023) 4757\u20134779.","DOI":"10.1007\/s11831-023-09958-1"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1117\/12.2520149"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Sofia Marino Pierre Beauseroy and Andr\u00e9 Smolarz. 2019. Deep Learning-based Method for Classifying and Localizing Potato Blemishes. ICPRAM 11996 1 (2019) 107\u2013117.","DOI":"10.5220\/0007350101070117"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Josep Massana-Codina Sylvain Schnee Nicole Lecoultre Eric Droz Brice Dupuis Andreas Keiser Patrice de Werra Jean-Luc Wolfender Katia Gindro and St\u00e9phanie Sch\u00fcrch. 2021. Influence of abiotic factors inoculum source and cultivar susceptibility on the potato tuber blemish diseases black dot (Colletotrichum coccodes) and silver scurf (Helminthosporium solani). Plant Pathology 70 4 (2021) 885\u2013897.","DOI":"10.1111\/ppa.13350"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"Guadalupe\u00a0Arlene Mora-Romero Rub\u00e9n F\u00e9lix-Gast\u00e9lum Rachel\u00a0A Bomberger Cecilia Romero-Ur\u00edas and Kiwamu Tanaka. 2022. Common potato disease symptoms: ambiguity of symptom-based identification of causal pathogens and value of on-site molecular diagnostics. Journal of General Plant Pathology 88 2 (2022) 89\u2013104.","DOI":"10.1007\/s10327-021-01045-2"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"Dor Oppenheim Guy Shani Orly Erlich and Leah Tsror. 2019. Using deep learning for image-based potato tuber disease detection. Phytopathology 109 6 (2019) 1083\u20131087.","DOI":"10.1094\/PHYTO-08-18-0288-R"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"Haroon Rasheed Daraz Ahmad and Jinsong Bao. 2022. Genetic diversity and health properties of polyphenols in potato. Antioxidants 11 4 (2022) 603.","DOI":"10.3390\/antiox11040603"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIACT50329.2020.9332037"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/IES50839.2020.9231784"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"crossref","unstructured":"Amer Tabbakh and Soubhagya\u00a0Sankar Barpanda. 2023. A Deep Features extraction model based on the Transfer learning model and vision transformer\" TLMViT\" for Plant Disease Classification. IEEE Access (2023).","DOI":"10.1109\/ACCESS.2023.3273317"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICICCS48265.2020.9121067"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Rahul\u00a0Kumar Tiwari Ravinder Kumar Sanjeev Sharma Vinay Sagar Rashmi Aggarwal Kailash\u00a0Chandra Naga Milan\u00a0Kumar Lal Kumar\u00a0Nishant Chourasia Dharmendra Kumar and Manoj Kumar. 2020. Potato dry rot disease: current status pathogenomics and management. 3 Biotech 10 (2020) 1\u201318.","DOI":"10.1007\/s13205-020-02496-8"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Leah Tsror. 2010. Biology epidemiology and management of Rhizoctonia solani on potato. Journal of Phytopathology 158 10 (2010) 649\u2013658.","DOI":"10.1111\/j.1439-0434.2010.01671.x"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-7563-6_53"},{"key":"e_1_3_3_1_30_2","unstructured":"Maya Voronina PhytoEngineering\u00a0R&D Center Aleksei Korzhenkov Stepan Toschakov and Aleksandr Ignatov. [n.d.]. First Report of Pectobacterium parmentieri Causing Soft Rot Disease of Potato in Russia. ([n. d.])."},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"crossref","unstructured":"Cheng Wang Delei Chen Lin Hao Xuebo Liu Yu Zeng Jianwei Chen and Guokai Zhang. 2019. Pulmonary image classification based on inception-v3 transfer learning model. IEEE Access 7 (2019) 146533\u2013146541.","DOI":"10.1109\/ACCESS.2019.2946000"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01163"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"crossref","unstructured":"Jason Wang Luis Perez et\u00a0al. 2017. The effectiveness of data augmentation in image classification using deep learning. Convolutional Neural Networks Vis. Recognit 11 2017 (2017) 1\u20138.","DOI":"10.1109\/ICSPCC.2017.8242527"}],"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\/3723178.3723294","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3723178.3723294","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\/3723178.3723294"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,17]]},"references-count":32,"alternative-id":["10.1145\/3723178.3723294","10.1145\/3723178"],"URL":"https:\/\/doi.org\/10.1145\/3723178.3723294","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"}}]}}