{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:52:39Z","timestamp":1743112359306,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030339036"},{"type":"electronic","value":"9783030339043"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-33904-3_31","type":"book-chapter","created":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T22:40:05Z","timestamp":1572043205000},"page":"336-345","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Computer Vision Approaches to Detect Bean Defects"],"prefix":"10.1007","author":[{"given":"Peterson A.","family":"Belan","sequence":"first","affiliation":[]},{"given":"Robson A. G.","family":"de Macedo","sequence":"additional","affiliation":[]},{"given":"Sidnei A.","family":"de Ara\u00fajo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,22]]},"reference":[{"issue":"5","key":"31_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2202\/1556-3758.1788","volume":"6","author":"AK Aggarwal","year":"2010","unstructured":"Aggarwal, A.K., Mohan, R.: Aspect ratio analysis using image processing for rice grain quality. Int. J. Food Eng. 6(5), 1\u201314 (2010)","journal-title":"Int. J. Food Eng."},{"issue":"1\u20132","key":"31_CR2","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.jfoodeng.2004.05.070","volume":"67","author":"L Fern\u00e1ndez","year":"2005","unstructured":"Fern\u00e1ndez, L., Castillero, C., Aguilera, J.M.: An application of image analysis to dehydration of apple discs. J. Food Eng. 67(1\u20132), 185\u2013193 (2005)","journal-title":"J. Food Eng."},{"issue":"9","key":"31_CR3","doi-asserted-by":"publisher","first-page":"3512","DOI":"10.1016\/j.eswa.2012.12.059","volume":"40","author":"G Stegmayer","year":"2013","unstructured":"Stegmayer, G., Milone, D.H., Garran, S., Burdyn, L.: Automatic recognition of quarantine citrus diseases. Expert Syst. Appl. 40(9), 3512\u20133517 (2013)","journal-title":"Expert Syst. Appl."},{"key":"31_CR4","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.compag.2016.01.024","volume":"124","author":"H Zareiforoush","year":"2016","unstructured":"Zareiforoush, H., Minaei, S., Alizadeh, M.R., Banakar, A., Samani, B.H.: Design, development and performance evaluation of an automatic control system for rice whitening machine based on computer vision and fuzzy logic. Comput. Electron. Agric. 124, 14\u201322 (2016)","journal-title":"Comput. Electron. Agric."},{"key":"31_CR5","unstructured":"Knabben, C.C., Costa, J.S.: Manual of classification of the bean: normative instruction n. 12, 28 March 2008. Embrapa Rice and Bean-Folder\/Leaflet\/Booklet \u2013 INFOTECA-E (2012)"},{"key":"31_CR6","doi-asserted-by":"publisher","first-page":"897","DOI":"10.1016\/j.jfoodeng.2005.11.030","volume":"78","author":"K Kili\u00e7","year":"2007","unstructured":"Kili\u00e7, K., Boyaci, I.H., K\u00f6ksel, H., K\u00fcsmenoglu, I.: A classification system for beans using computer vision system and artificial neural networks. J. Food Eng. 78, 897\u2013904 (2007)","journal-title":"J. Food Eng."},{"issue":"4","key":"31_CR7","first-page":"51","volume":"34","author":"NK Patil","year":"2011","unstructured":"Patil, N.K., Yadahalli, R.M., Pujari, J.: Comparison between HSV and YCbCr color model color-texture based classification of the food grains. Int. J. Comput. Appl. 34(4), 51\u201357 (2011)","journal-title":"Int. J. Comput. Appl."},{"key":"31_CR8","unstructured":"Parronchi, P.: The development pioneers and the new agriculture 4.0: economic development from the countryside? In: XXIII Encontro Nacional de Economia Pol\u00edtica, pp. 1\u201318 (2017)"},{"key":"31_CR9","first-page":"254","volume":"51","author":"G Venora","year":"2007","unstructured":"Venora, G., Grillo, O., Ravalli, C., Cremonini, R.: Tuscany beans landraces, on-line identification from seeds inspection by image analysis and linear discriminant analysis. Agrochimica 51, 254\u2013268 (2007)","journal-title":"Agrochimica"},{"issue":"4","key":"31_CR10","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1016\/j.scienta.2009.03.014","volume":"121","author":"Gianfranco Venora","year":"2009","unstructured":"Venora, G., Grillo, O., Ravalli, C., Cremonini, R.: Identification of Italian landraces of bean (Phaseolus vulgaris L.) using an image analysis system. Sci. Hortic. 121, 410\u2013418 (2009)","journal-title":"Scientia Horticulturae"},{"issue":"9","key":"31_CR11","first-page":"177","volume":"2","author":"B Laurent","year":"2010","unstructured":"Laurent, B., Ousman, B., Dzudie, T., Carl, M.F.M., Emmanuel, T.: J. Eng. Technol. Res. 2(9), 177\u2013188 (2010)","journal-title":"J. Eng. Technol. Res."},{"key":"31_CR12","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.engappai.2015.01.004","volume":"40","author":"SA Ara\u00fajo","year":"2015","unstructured":"Ara\u00fajo, S.A., Pessota, J.H., Kim, H.Y.: Beans quality inspection using correlation-based granulometry. Eng. Appl. Artif. Intell. 40, 84\u201394 (2015)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"31_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/978-3-319-27863-6_5","volume-title":"Advances in Visual Computing","author":"SA Ara\u00fajo","year":"2015","unstructured":"Ara\u00fajo, S.A., Alves, W.A.L., Belan, P.A., Anselmo, K.P.: A computer vision system for automatic classification of most consumed Brazilian beans. In: Bebis, G., et al. (eds.) ISVC 2015. LNCS, vol. 9475, pp. 45\u201353. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-27863-6_5"},{"key":"31_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1007\/978-3-319-41501-7_89","volume-title":"Image Analysis and Recognition","author":"PA Belan","year":"2016","unstructured":"Belan, P.A., Ara\u00fajo, S.A., Alves, W.A.L.: An intelligent vision-based system applied to visual quality inspection of beans. In: Campilho, A., Karray, F. (eds.) ICIAR 2016. LNCS, vol. 9730, pp. 801\u2013809. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-41501-7_89"},{"key":"31_CR15","unstructured":"Belan, P.A., Pereira, M.M.A., Ara\u00fajo, S.A., Alves, W.A.L.: Abordagem Computacional para Classifica\u00e7\u00e3o Autom\u00e1tica de Gr\u00e3os de Feij\u00e3o em Tempo Real. In: SeTII 2016, S\u00e3o Paulo, Brazil, pp. 1\u20134 (2016)"},{"key":"31_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"482","DOI":"10.1007\/978-3-319-93000-8_54","volume-title":"Image Analysis and Recognition","author":"PA Belan","year":"2018","unstructured":"Belan, P.A., de Macedo, R.A.G., Pereira, M.M.A., Alves, W.A.L., de Ara\u00fajo, S.A.: A fast and robust approach for touching grains segmentation. In: Campilho, A., Karray, F., ter Haar Romeny, B. (eds.) ICIAR 2018. LNCS, vol. 10882, pp. 482\u2013489. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-93000-8_54"},{"key":"31_CR17","doi-asserted-by":"crossref","unstructured":"Soille, P.: Morphological Image Analysis: Principles and Applications. Springer, Heidelberg (2003)","DOI":"10.1007\/978-3-662-05088-0"},{"issue":"2","key":"31_CR18","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1109\/TIT.1962.1057692","volume":"8","author":"MK Hu","year":"1962","unstructured":"Hu, M.K.: Visual pattern recognition by moment invariants. IRE Trans. Inf. Theory 8(2), 179\u2013187 (1962)","journal-title":"IRE Trans. Inf. Theory"}],"container-title":["Lecture Notes in Computer Science","Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-33904-3_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T14:08:33Z","timestamp":1710252513000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-33904-3_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030339036","9783030339043"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33904-3_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"22 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CIARP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberoamerican Congress on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Havana","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuba","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ciarp2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ciarp.uci.cu\/","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":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"128","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":"70","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":"55% - 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":"3","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)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}