{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T09:40:20Z","timestamp":1768297220668,"version":"3.49.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030934194","type":"print"},{"value":"9783030934200","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-93420-0_21","type":"book-chapter","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T00:46:22Z","timestamp":1642034782000},"page":"217-226","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Towards Precise Recognition of\u00a0Pollen Bearing Bees by\u00a0Convolutional Neural Networks"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1421-8006","authenticated-orcid":false,"given":"Fernando C.","family":"Monteiro","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cristina M.","family":"Pinto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1344-8264","authenticated-orcid":false,"given":"Jos\u00e9","family":"Rufino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,13]]},"reference":[{"issue":"1","key":"21_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.17221\/7240-VETMED","volume":"59","author":"H Abou-Shaara","year":"2014","unstructured":"Abou-Shaara, H.: The foraging behaviour of honey bees, Apis mellifera: a review. Veterinarni Medicina 59(1), 1\u201310 (2014)","journal-title":"Veterinarni Medicina"},{"issue":"7","key":"21_CR2","doi-asserted-by":"publisher","first-page":"51","DOI":"10.5194\/isprs-annals-III-7-51-2016","volume":"3","author":"Z Babic","year":"2016","unstructured":"Babic, Z., Pilipovic, R., Risojevic, V., Mirjanic, G.: Pollen bearing honey bee detection in hive entrance video recorded by remote embedded system for pollination monitoring. ISPRS Ann. Photogram. Remote Sens. Spat. Inf. Sci. 3(7), 51\u201357 (2016)","journal-title":"ISPRS Ann. Photogram. Remote Sens. Spat. Inf. Sci."},{"key":"21_CR3","doi-asserted-by":"crossref","unstructured":"Chollet, F.: Xception: deep learning with depthwise separable convolutions. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1800\u20131807 (2017)","DOI":"10.1109\/CVPR.2017.195"},{"key":"21_CR4","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/s13592-015-0373-y","volume":"47","author":"B Frias","year":"2016","unstructured":"Frias, B., Barbosa, C., Louren\u00e7o, A.: Pollen nutrition in honey bees (Apis mellifera): impact on adult health. Apidologie 47, 15\u201325 (2016)","journal-title":"Apidologie"},{"key":"21_CR5","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2261\u20132269 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Lundie, A.: The Flight Activities of the Honneybee, vol. 1328, pp. 1\u201338. United States Department of Agriculture (1925)","DOI":"10.5962\/bhl.title.108871"},{"key":"21_CR8","unstructured":"Madras Majewska, B., Majewski, J.: Importance of bees in pollination of crops in the European Union countries. In: International Conference Economic Science for Rural Development, pp. 114\u2013119 (2016)"},{"key":"21_CR9","unstructured":"Redmon, J., Farhadi, A.: YOLOv3: an incremental improvement. ArXiv, p. 1804.02767 (2018)"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Rodriguez, I.F., Megret, R., Acuna, E., Agosto-Rivera, J.L., Giray, T.: Recognition of pollen-bearing bees from video using convolutional neural network. In: 2018 IEEE Winter Conference on Applications of Computer Vision, pp. 314\u2013322 (2018)","DOI":"10.1109\/WACV.2018.00041"},{"key":"21_CR11","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., et al.: ImageNet large scale visual recognition challenge. Int. J. Comput. Vis. 115, 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"21_CR12","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: International Conference on Learning Representations, pp. 1\u201314 (2015)"},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Sledevi\u010d, T.: The application of convolutional neural network for pollen bearing bee classification. In: 2018 IEEE 6th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), pp. 1\u20134 (2018)","DOI":"10.1109\/AIEEE.2018.8592464"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Stojni\u0107, V., Risojevi\u0107, V., Pilipovi\u0107, R.: Detection of pollen bearing honey bees in hive entrance images. In: 17th International Symposium INFOTEH-JAHORINA (INFOTEH), pp. 1\u20134 (2018)","DOI":"10.1109\/INFOTEH.2018.8345546"},{"key":"21_CR15","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Ioffe, S., Vanhoucke, V., Alemi, A.: Inception-v4, InceptionResNet and the impact of residual connections on learning. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, pp. 4278\u20134284 (2017)","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"21_CR16","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2818\u20132826 (2016)","DOI":"10.1109\/CVPR.2016.308"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Yang, C., Collins, J.: Deep learning for pollen sac detection and measurement on honeybee monitoring video. In: 2019 International Conference on Image and Vision Computing New Zealand, pp. 1\u20136 (2019)","DOI":"10.1109\/IVCNZ48456.2019.8961011"}],"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\/978-3-030-93420-0_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T01:03:35Z","timestamp":1768266215000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-93420-0_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030934194","9783030934200"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-93420-0_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"13 January 2022","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":"Porto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"10 May 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 May 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ciarp2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ciarp2020.org\/","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":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"82","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":"45","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":"2","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":"2","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","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"}]}}