{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T10:15:45Z","timestamp":1743156945586,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030493417"},{"type":"electronic","value":"9783030493424"}],"license":[{"start":{"date-parts":[[2020,8,15]],"date-time":"2020-08-15T00:00:00Z","timestamp":1597449600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,15]],"date-time":"2020-08-15T00:00:00Z","timestamp":1597449600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-49342-4_9","type":"book-chapter","created":{"date-parts":[[2020,8,14]],"date-time":"2020-08-14T11:49:30Z","timestamp":1597405770000},"page":"90-99","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A Deep Convolutional Neural Network Model for Multi-class Fruits Classification"],"prefix":"10.1007","author":[{"given":"Laith","family":"Alzubaidi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Omran","family":"Al-Shamma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed A.","family":"Fadhel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zinah Mohsin","family":"Arkah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fouad H.","family":"Awad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,15]]},"reference":[{"key":"9_CR1","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1016\/j.foodres.2014.03.012","volume":"62","author":"BH Zhang","year":"2014","unstructured":"Zhang, B.H., Huang, W., Li, J., Zhao, C., Fan, S., Wu, J., Liu, C.: Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: a review. Food Res. 62, 326\u2013343 (2014)","journal-title":"Food Res."},{"key":"9_CR2","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.foodres.2015.01.034","volume":"70","author":"YD Zhang","year":"2015","unstructured":"Zhang, Y.D., Wu, L., Wang, S., Ji, G.: Comment on: principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: a review (Food Research International; 2014, 62: 326\u2013343). Food Res. 70, 142 (2015)","journal-title":"Food Res."},{"issue":"Suppl. 1","key":"9_CR3","doi-asserted-by":"publisher","first-page":"S23","DOI":"10.1016\/j.jfca.2008.11.012","volume":"22","author":"JAT Pennington","year":"2009","unstructured":"Pennington, J.A.T., Fisher, R.A.: Classification of fruits and vegetables. J. Food Compos. Anal. 22(Suppl. 1), S23\u2013S31 (2009)","journal-title":"J. Food Compos. Anal."},{"key":"9_CR4","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.jfoodeng.2010.12.011","volume":"104","author":"T Pholpho","year":"2011","unstructured":"Pholpho, T., Pathaveerat, S., Sirisomboon, P.: Classification of longan fruit bruising using visible spectroscopy. J. Food Eng. 104, 169\u2013172 (2011)","journal-title":"J. Food Eng."},{"key":"9_CR5","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/j.biosystemseng.2012.09.009","volume":"113","author":"C Yang","year":"2012","unstructured":"Yang, C., Lee, W.S., Williamson, J.G.: Classification of blueberry fruit and leaves based on spectral signatures. Biosyst. Eng. 113, 351\u2013362 (2012)","journal-title":"Biosyst. Eng."},{"key":"9_CR6","doi-asserted-by":"publisher","first-page":"12489","DOI":"10.3390\/s120912489","volume":"12","author":"L Wu","year":"2012","unstructured":"Wu, L., Zhang, Y.: Classification of fruits using computer vision and a multiclass support vector machine. Sensors 12, 12489\u201312505 (2012)","journal-title":"Sensors"},{"key":"9_CR7","doi-asserted-by":"publisher","first-page":"1077","DOI":"10.3136\/fstr.19.1077","volume":"19","author":"XW Feng","year":"2013","unstructured":"Feng, X.W., Zhang, Q.H., Zhu, Z.L.: Rapid classification of citrus fruits based on raman spectroscopy and pattern recognition techniques. Food Sci. Technol. Res. 19, 1077\u20131084 (2013)","journal-title":"Food Sci. Technol. Res."},{"key":"9_CR8","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.jfoodeng.2013.05.032","volume":"119","author":"P Cano Marchal","year":"2013","unstructured":"Cano Marchal, P., Gila, D.M., Garc\u00eda, J.G., Ortega, J.G.: Expert system based on computer vision to estimate the content of impurities in olive oil samples. J. Food Eng. 119, 220\u2013228 (2013)","journal-title":"J. Food Eng."},{"key":"9_CR9","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1016\/j.jfoodeng.2012.11.033","volume":"116","author":"EG Breijo","year":"2013","unstructured":"Breijo, E.G., Guarrasi, V., Peris, R.M., Fillol, M.A., Pinatti, C.O.: Odour sampling system with modifiable parameters applied to fruit classification. J. Food Eng. 116, 277\u2013285 (2013)","journal-title":"J. Food Eng."},{"key":"9_CR10","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1016\/j.jfoodeng.2013.04.015","volume":"118","author":"FH Fan","year":"2013","unstructured":"Fan, F.H., Ma, Q., Ge, J., Peng, Q.Y., Riley, W.W., Tang, S.Z.: Prediction of texture characteristics from extrusion food surface images using a computer vision system and artificial neural networks. J. Food Eng. 118, 426\u2013433 (2013)","journal-title":"J. Food Eng."},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.jfoodeng.2013.03.019","volume":"118","author":"M Omid","year":"2013","unstructured":"Omid, M., Soltani, M., Dehrouyeh, M.H., Mohtasebi, S.S., Ahmadi, H.: An expert egg grading system based on machine vision and artificial intelligence techniques. J. Food Eng. 118, 70\u201377 (2013)","journal-title":"J. Food Eng."},{"key":"9_CR12","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.jfoodeng.2014.07.001","volume":"143","author":"Y Zhang","year":"2014","unstructured":"Zhang, Y., Wang, S., Ji, G., Phillips, P.: Fruit classification using computer vision and feedforward neural network. J. Food Eng. 143, 167\u2013177 (2014)","journal-title":"J. Food Eng."},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Khanmohammadi, M., Karami, F., Mir-Marqu\u00e9s, A., Garmarudi, A.B., Garigues, S., de la Guardia, M.: Classification of persimmon fruit origin by near infrared spectrometry and least squares-support vector machines. J. Food Eng. 17\u201322 (2014)","DOI":"10.1016\/j.jfoodeng.2014.06.003"},{"issue":"6","key":"9_CR14","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1007\/s11119-014-9361-x","volume":"15","author":"S Chaivivatrakul","year":"2014","unstructured":"Chaivivatrakul, S., Dailey, M.N.: Texture-based fruit detection. Precis. Agric. 15(6), 662\u2013683 (2014). \nhttps:\/\/doi.org\/10.1007\/s11119-014-9361-x","journal-title":"Precis. Agric."},{"key":"9_CR15","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1016\/j.engappai.2014.10.001","volume":"37","author":"G Muhammad","year":"2015","unstructured":"Muhammad, G.: Date fruits classification using texture descriptors and shape size features. Eng. Appl. Artif. Intell. 37, 361\u2013367 (2015)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"Mure\u015fan, H., Mihai, O.: Fruit recognition from images using deep learning. Acta Universitatis Sapientiae, Informatica 10(1), 26\u201342 (2018)","DOI":"10.2478\/ausi-2018-0002"},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Siddiqi, R.: Effectiveness of transfer learning and fine tuning in automated fruit image classification. In: Proceedings of the 2019 3rd International Conference on Deep Learning Technologies. ACM (2019)","DOI":"10.1145\/3342999.3343002"},{"key":"9_CR18","doi-asserted-by":"crossref","unstructured":"Alzubaidi, L., et al.: Deep learning models for classification of red blood cells in microscopy images to aid in sickle cell anemia diagnosis. Electronics 9(3), 427 (2020)","DOI":"10.3390\/electronics9030427"},{"key":"9_CR19","doi-asserted-by":"publisher","unstructured":"Alzubaidi, L., Fadhel, M.A., Oleiwi, S.R., et al.: DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network. Multimed. Tools Appl. 79, 15655\u201315677 (2020). \nhttps:\/\/doi.org\/10.1007\/s11042-019-07820-w","DOI":"10.1007\/s11042-019-07820-w"},{"key":"9_CR20","doi-asserted-by":"crossref","unstructured":"Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Netw. 61, 85\u2013117 (2015)","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"9_CR21","unstructured":"Fadhel, M., et al.: Recognition of the unripe strawberry by using color segmentation techniques. Int. J. Eng. Technol. 7(4), 3383\u20133387 (2018)"},{"key":"9_CR22","doi-asserted-by":"crossref","unstructured":"Al-Shamma, O., et al.: Boosting convolutional neural networks performance based on FPGA accelerator. In: International Conference on Intelligent Systems Design and Applications. Springer, Cham (2018)","DOI":"10.1007\/978-3-030-16657-1_47"},{"key":"9_CR23","doi-asserted-by":"crossref","unstructured":"Alzubaidi, L., et al.: Optimizing the performance of breast cancer classification by employing the same domain transfer learning from hybrid deep convolutional neural network model. Electronics 9(3), 445 (2020)","DOI":"10.3390\/electronics9030445"},{"key":"9_CR24","doi-asserted-by":"crossref","unstructured":"Alzubaidi, L., et al.: Towards a better understanding of transfer learning for medical imaging: a case study. Appl. Sci. 10(13), 4523 (2020)","DOI":"10.3390\/app10134523"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Systems Design and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-49342-4_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,14]],"date-time":"2020-08-14T11:52:47Z","timestamp":1597405967000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-49342-4_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,15]]},"ISBN":["9783030493417","9783030493424"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-49342-4_9","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,8,15]]},"assertion":[{"value":"15 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems Design and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Auburn, WA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","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":"3 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isda2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/isda19\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}