{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T20:01:26Z","timestamp":1772654486646,"version":"3.50.1"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030937089","type":"print"},{"value":"9783030937096","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-93709-6_32","type":"book-chapter","created":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T19:02:32Z","timestamp":1641063752000},"page":"480-488","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Early Ginger Disease Detection Using Deep Learning Approach"],"prefix":"10.1007","author":[{"given":"Mesay Gemeda","family":"Yigezu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael Melese","family":"Woldeyohannis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atnafu Lambebo","family":"Tonja","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,1]]},"reference":[{"key":"32_CR1","unstructured":"Worldbank. World Development Indicators Data Catalog (2018). https:\/\/data.worldbank.org\/country\/ethiopia, Accessed 10 June 2021"},{"key":"32_CR2","unstructured":"Food and Agriculture Organization of the United Nations FAO. FAOSTAT database (2018). http:\/\/www.faostat.org, Accessed 19 June 2021"},{"key":"32_CR3","doi-asserted-by":"crossref","unstructured":"Cheru, F., Cramer, C., Oqubay, A.: The Oxford Handbook of the Ethiopian Economy. Oxford University Press, Oxford (2019). https:\/\/www.ebooks.com\/en-us\/book\/209586650\/the-oxford-handbook-of-the-ethiopian-economy\/fantu-cheru\/","DOI":"10.1093\/oxfordhb\/9780198814986.001.0001"},{"key":"32_CR4","unstructured":"CSA. Agricultural sample survey 2017\/18 (2010 EC), Volume III: Report on farm management practices (Private peasant holdings, Meher season) (2018)"},{"key":"32_CR5","volume-title":"Agriculture\u2019s Changing Role in Ethiopia\u2019s Economic Transformation","author":"S Dercon","year":"2019","unstructured":"Dercon, S., Gollin, D.: Agriculture\u2019s Changing Role in Ethiopia\u2019s Economic Transformation. Oxford University Press, Oxford (2019)"},{"issue":"4","key":"32_CR6","doi-asserted-by":"publisher","first-page":"79","DOI":"10.14257\/ijdta.2016.9.4.07","volume":"9","author":"AD Mengistu","year":"2016","unstructured":"Mengistu, A.D., Alemayehu, D.M., Mengistu, S.G.: Ethiopian coffee plant diseases recognition based on imaging and machine learning techniques. Int. J. Database Theory Appl. 9(4), 79\u201388 (2016)","journal-title":"Int. J. Database Theory Appl."},{"issue":"1","key":"32_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13007-018-0385-5","volume":"15","author":"MG Selvaraj","year":"2019","unstructured":"Selvaraj, M.G., et al.: AI-powered banana diseases and pest detection. Plant Methods 15(1), 1\u201311 (2019)","journal-title":"Plant Methods"},{"key":"32_CR8","unstructured":"M. Seiter et al.: We are IntechOpen, the world \u2019 s leading publisher of Open Access books Built by scientists, for scientists TOP 1. Intech i, 13 (2019)"},{"issue":"1","key":"32_CR9","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.biosystemseng.2008.09.030","volume":"102","author":"A Camargo","year":"2009","unstructured":"Camargo, A., Smith, J.S.: An image-processing based algorithm to automatically identify plant disease visual symptoms. Biosyst. Eng. 102(1), 9\u201321 (2009)","journal-title":"Biosyst. Eng."},{"key":"32_CR10","unstructured":"Gupta, J.: The Role of Artificial intelligence in Agriculture Sector. https:\/\/customerthink.com\/the-role-of-artificial-intelligence-in-agriculture-sector\/"},{"key":"32_CR11","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.compag.2018.02.016","volume":"147","author":"A Kamilaris","year":"2018","unstructured":"Kamilaris, A., Prenafeta-Bold\u00fa, F.X.: Deep learning in agriculture: a survey. Comput. Electron. Agric. 147, 70\u201390 (2018)","journal-title":"Comput. Electron. Agric."},{"key":"32_CR12","doi-asserted-by":"crossref","unstructured":"Siricharoen, P., Scotney, B., Morrow, P., Parr, G.: A Lightweight Mobile System for Crop Disease Diagnosis (2016)","DOI":"10.1007\/978-3-319-41501-7_87"},{"key":"32_CR13","doi-asserted-by":"publisher","first-page":"1852","DOI":"10.3389\/fpls.2017.01852","volume":"8","author":"A Ramcharan","year":"2019","unstructured":"Ramcharan, A., Baranowski, K., McCloskey, P., Ahmed, B., Legg, J., Hughes, D.P.: Deep learning for image-based cassava disease detection. Front. Plant Sci. 8, 1852 (2019)","journal-title":"Front. Plant Sci."},{"key":"32_CR14","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.3389\/fpls.2016.01419","volume":"7","author":"SP Mohanty","year":"2016","unstructured":"Mohanty, S.P., Hughes, D.P., Salath\u00e9, M.: Using deep learning for image-based plant disease detection. Front. Plant Sci. 7, 1419 (2016)","journal-title":"Front. Plant Sci."},{"issue":"9","key":"32_CR15","doi-asserted-by":"publisher","first-page":"516","DOI":"10.21276\/ijre.2018.5.9.4","volume":"5","author":"YM Oo","year":"2018","unstructured":"Oo, Y.M., Htun, N.C.: Plant leaf disease detection and classification using image processing. Int. J. Res. Eng. 5(9), 516\u2013523 (2018)","journal-title":"Int. J. Res. Eng."},{"key":"32_CR16","doi-asserted-by":"crossref","unstructured":"Ramakrishnan, M.: Groundnut leaf disease detection and classification by using back propagation algorithm. In: IEEE ICCSP, pp. 1\u201319 (2015)","DOI":"10.1109\/ICCSP.2015.7322641"},{"issue":"4","key":"32_CR17","first-page":"1129","volume":"4","author":"S Mude","year":"2017","unstructured":"Mude, S., Naik, D., Patil, A.: Leaf disease detection using image processing for pesticide spraying. Int. J. Adv. Eng. Res. Dev. 4(4), 1129\u20131132 (2017)","journal-title":"Int. J. Adv. Eng. Res. Dev."},{"issue":"1","key":"32_CR18","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1186\/s13104-018-3548-6","volume":"11","author":"T Wiesner-Hanks","year":"2018","unstructured":"Wiesner-Hanks, T., et al.: Image set for deep learning: field images of maize annotated with disease symptoms. BMC Res. Notes 11(1), 10\u201312 (2018)","journal-title":"BMC Res. Notes"},{"key":"32_CR19","unstructured":"Zhang, A., Lipton, Z.C., Li, M., Smola, A.J.: Dive into Deep Learning (2020)"},{"key":"32_CR20","unstructured":"Li, F.F., Krishna, R.: CS231n: Convolutional Neural Networks for Visual Recognition. https:\/\/cs231n.github.io\/convolutional-networks"},{"key":"32_CR21","unstructured":"Prabhu.: Understanding of Convolutional Neural Network (CNN) - Deep Learning. https:\/\/medium.com\/@RaghavPrabhu\/understanding-of-convolutional-neural-network-cnn-deep-learning-99760835f148"},{"key":"32_CR22","doi-asserted-by":"crossref","unstructured":"Yu, D., Wang, H., Chen, P., Wei, Z.: Mixed pooling for convolutional neural networks mixed pooling for convolutional neural. Key Lab. Embed. Syst. Serv. Comput. Minist. Educ. (2014)","DOI":"10.1007\/978-3-319-11740-9_34"},{"key":"32_CR23","volume-title":"Deep Learning A Practitioner\u2019s Approach","author":"P Josh","year":"2017","unstructured":"Josh, P., Adam, G.: Deep Learning A Practitioner\u2019s Approach. O\u2019Reilly Media, Sebastopol (2017)"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Advances of Science and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-93709-6_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T19:07:56Z","timestamp":1641064076000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-93709-6_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030937089","9783030937096"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-93709-6_32","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"value":"1867-8211","type":"print"},{"value":"1867-822X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"1 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advances of Science and Technology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bahir Dar","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ethiopia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icast12021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icast-conf.eai-conferences.org\/2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy +","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"202","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"80","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}