{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T14:25:59Z","timestamp":1768487159408,"version":"3.49.0"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"20","license":[{"start":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T00:00:00Z","timestamp":1678147200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T00:00:00Z","timestamp":1678147200000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s11042-023-14934-9","type":"journal-article","created":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T08:02:49Z","timestamp":1678176169000},"page":"31445-31465","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features"],"prefix":"10.1007","volume":"82","author":[{"given":"Junaid","family":"Amin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arvind","family":"Selwal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ambreen","family":"Sabha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,3,7]]},"reference":[{"key":"14934_CR1","doi-asserted-by":"publisher","unstructured":"Ahmed SA, Husaini AM (2021) Investigating binding potential of carotenoid pathway bioactive molecules for ACE2 receptor of SARS-CoV-2: possibility of a saffron based remedy for novel coronavirus! J. Hort. Postharvest res. 4, 69\u201378. https:\/\/doi.org\/10.22077\/jhpr.2021.4462.12","DOI":"10.22077\/jhpr.2021.4462.12"},{"key":"14934_CR2","doi-asserted-by":"publisher","unstructured":"Amin J, Selwal A Sabha A (2021) SAPS: Automatic Saffron Adulteration Prediction Systems, research issues, and prospective solutions. 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT). pp. 64\u201371 https:\/\/doi.org\/10.1109\/CCICT53244.2021.00024","DOI":"10.1109\/CCICT53244.2021.00024"},{"key":"14934_CR3","doi-asserted-by":"publisher","unstructured":"Azarabadi N, \u00d6zdemir F (2018) Determination of Crocin Content and Volatile Components in Different Qualities of Iranian Saffron. Gida \/ J. Food, no. May, pp. 476\u2013489. https:\/\/doi.org\/10.15237\/gida.gd18018","DOI":"10.15237\/gida.gd18018"},{"issue":"2","key":"14934_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11306-016-1155-x","volume":"13","author":"R Dowlatabadi","year":"2017","unstructured":"Dowlatabadi R, Farshidfar F, Zare Z, Pirali M, Rabiei M, Khoshayand MR, Vogel HJ (2017) Detection of adulteration in Iranian saffron samples by 1H NMR spectroscopy and multivariate data analysis techniques. Metabolomics 13(2):1\u201311. https:\/\/doi.org\/10.1007\/s11306-016-1155-x","journal-title":"Metabolomics"},{"issue":"13","key":"14934_CR5","doi-asserted-by":"publisher","first-page":"61","DOI":"10.4103\/0973-7847.112850","volume":"7","author":"AR Gohari","year":"2013","unstructured":"Gohari AR, Saeidnia S, Mahmoodabadi MK (2013) An overview on saffron, phytochemicals, and medicinal properties. Pharmacogn Rev 7(13):61\u201366. https:\/\/doi.org\/10.4103\/0973-7847.112850","journal-title":"Pharmacogn Rev"},{"issue":"7","key":"14934_CR6","doi-asserted-by":"publisher","first-page":"1391","DOI":"10.1080\/10942912.2014.915850","volume":"18","author":"K Heidarbeigi","year":"2015","unstructured":"Heidarbeigi K, Mohtasebi SS, Foroughirad A, Ghasemi-Varnamkhasti M, Rafiee S, Rezaei K (2015) Detection of adulteration in saffron samples using electronic nose. Int J Food Prop 18(7):1391\u20131401. https:\/\/doi.org\/10.1080\/10942912.2014.915850","journal-title":"Int J Food Prop"},{"issue":"1","key":"14934_CR7","doi-asserted-by":"publisher","first-page":"36","DOI":"10.15171\/ijb.1034","volume":"13","author":"WJ Huang","year":"2015","unstructured":"Huang WJ, Li FF, Liu YJ, Long CL (2015) Identification of Crocus sativus and its adulterants from Chinese markets by using DNA barcoding technique. Iran J Biotechnol 13(1):36\u201342. https:\/\/doi.org\/10.15171\/ijb.1034","journal-title":"Iran J Biotechnol"},{"issue":"1","key":"14934_CR8","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.acha.2016.09.001","volume":"43","author":"X Huang","year":"2017","unstructured":"Huang X, Maier A, Hornegger J, Suykens JAK (2017) Indefinite kernels in least squares support vector machines and principal component analysis. Appl Comput Harmon Anal 43(1):162\u2013172. https:\/\/doi.org\/10.1016\/j.acha.2016.09.001","journal-title":"Appl Comput Harmon Anal"},{"key":"14934_CR9","doi-asserted-by":"publisher","unstructured":"Husaini AM, Wani AB (2020) Prospects of organic saffron kitchen gardens as a source of phytochemicals for boosting immunity in common households of semi-arid regions: a case study of trans-Himalayan Kashmir valley. J. Pharmacogn. Phytochem. 9, 237\u2013243. https:\/\/doi.org\/10.22271\/phyto.2020.v9.i6d.12889","DOI":"10.22271\/phyto.2020.v9.i6d.12889"},{"issue":"1","key":"14934_CR10","first-page":"3","volume":"4","author":"AM Husaini","year":"2009","unstructured":"Husaini AM et al (2009) Bioinformatics for saffron (Crocus sativus L.) improvement. Commun Biometry Crop Sci 4(1):3\u20138","journal-title":"Commun Biometry Crop Sci"},{"key":"14934_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2021","volume":"7","author":"AM Husaini","year":"2021","unstructured":"Husaini AM, Jan KN, Wani GA (2021) Saffron: a potential drug-supplement for severe acute respiratory syndrome coronavirus (COVID) management. Heliyon 7:e07068. https:\/\/doi.org\/10.1016\/j.heliyon.2021","journal-title":"Heliyon"},{"key":"14934_CR12","doi-asserted-by":"publisher","first-page":"5325","DOI":"10.1007\/s11033-021-07053-x","volume":"49","author":"AM Husaini","year":"2022","unstructured":"Husaini AM, Ul Haq SA, Jim\u00e9nez AJL (2022) Understanding saffron biology using omics- and bioinformatics tools: stepping towards a better Crocus phenome. Mol Biol Rep 49:5325\u20135340. https:\/\/doi.org\/10.1007\/s11033-021-07053-x","journal-title":"Mol Biol Rep"},{"issue":"1","key":"14934_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.22099\/iar.2014.2376","volume":"33","author":"A Jafari","year":"2014","unstructured":"Jafari A, Bakhshipour A, Hemmatian R (2014) Integration of Color Features and Artificial Neural Networks for In-field Recognition of Saffron Flower. Iran Agric Res 33(1):1\u201314. https:\/\/doi.org\/10.22099\/iar.2014.2376","journal-title":"Iran Agric Res"},{"key":"14934_CR14","unstructured":"Javanmardi N, Bagheri A, Moshtaghi N, Sharifi A, and Kakhki AH (2011) Identification of Safflower as a fraud in commercial Saffron using RAPD \/ SCAR marker. vol. 3, no. February 2015. pp. 31\u201337"},{"issue":"1","key":"14934_CR15","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/s10100-017-0479-6","volume":"26","author":"B Kami\u0144ski","year":"2018","unstructured":"Kami\u0144ski B, Jakubczyk M, Szufel P (2018) A framework for sensitivity analysis of decision trees. Cent Eur J Oper Res 26(1):135\u2013159. https:\/\/doi.org\/10.1007\/s10100-017-0479-6","journal-title":"Cent Eur J Oper Res"},{"key":"14934_CR16","doi-asserted-by":"crossref","unstructured":"M. Kuhn and K. Johnson (2013) Applied predictive modeling with applications in R","DOI":"10.1007\/978-1-4614-6849-3"},{"key":"14934_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/00387010.2019.1693403","volume":"53","author":"X Lu","year":"2019","unstructured":"Lu X, Xia Z, Qu F, Zhu Z, Li S (2019) Identification of authenticity, quality and origin of saffron using hyperspectral imaging and multivariate spectral analysis. Spectrosc Lett 53:1\u201310. https:\/\/doi.org\/10.1080\/00387010.2019.1693403","journal-title":"Spectrosc Lett"},{"issue":"11","key":"14934_CR18","doi-asserted-by":"publisher","first-page":"1950","DOI":"10.1002\/jsfa.3679","volume":"89","author":"L Maggi","year":"2009","unstructured":"Maggi L, Carmona M, del Campo CP, Kanakis CD, Anastasaki E, Tarantilis PA, Polissiou MG, Alonso GL (2009) Worldwide market screening of saffron volatile composition. J Sci Food Agric 89(11):1950\u20131954. https:\/\/doi.org\/10.1002\/jsfa.3679","journal-title":"J Sci Food Agric"},{"issue":"October","key":"14934_CR19","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.jarmap.2017.07.004","volume":"7","author":"S Minaei","year":"2017","unstructured":"Minaei S, Kiani S, Ayyari M, Ghasemi-Varnamkhasti M (2017) A portable computer-vision-based expert system for saffron color quality characterization. J Appl Res Med Aromat Plants 7(October):124\u2013130. https:\/\/doi.org\/10.1016\/j.jarmap.2017.07.004","journal-title":"J Appl Res Med Aromat Plants"},{"key":"14934_CR20","unstructured":"Mohamad I, Shukla SK, Shakeel W Rapid Detection of Adulteration in Indigenous Saffron of Kashmir Valley, India. Res J Forensic Sci Res J Forensic Sci 3(3):232"},{"issue":"4","key":"14934_CR21","doi-asserted-by":"publisher","first-page":"1923","DOI":"10.1002\/fsn3.1478","volume":"8","author":"M Mohamadzadeh Moghadam","year":"2020","unstructured":"Mohamadzadeh Moghadam M, Taghizadeh M, Sadrnia H, Pourreza HR (2020) Nondestructive classification of saffron using color and textural analysis. Food Sci Nutr 8(4):1923\u20131932. https:\/\/doi.org\/10.1002\/fsn3.1478","journal-title":"Food Sci Nutr"},{"issue":"3","key":"14934_CR22","doi-asserted-by":"publisher","first-page":"3303","DOI":"10.32604\/cmc.2021.018472","volume":"69","author":"P Naga Srinivasu","year":"2021","unstructured":"Naga Srinivasu P, Ahmed S, Alhumam A, Bhoi Kumar A, Fazal Ijaz M (2021) An aw-haris based automated segmentation of human liver using ct images. Comput, Mater Continua 69(3):3303\u20133319","journal-title":"Comput, Mater Continua"},{"key":"14934_CR23","doi-asserted-by":"crossref","unstructured":"Parastar H, van Kollenburg G, Weesepoel Y, van den Doel A, Buydens L, Jansen J (2020) Integration of handheld NIR and machine learning to \u201cmeasure & monitor\u201d chicken meat authenticity. Food control, 112, article 107149","DOI":"10.1016\/j.foodcont.2020.107149"},{"issue":"3","key":"14934_CR24","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/MCAS.2006.1688199","volume":"6","author":"R Polikar","year":"2006","unstructured":"Polikar R (2006) Ensemble based systems in decision making. IEEE Circuits Syst Mag 6(3):21\u201344. https:\/\/doi.org\/10.1109\/MCAS.2006.1688199","journal-title":"IEEE Circuits Syst Mag"},{"key":"14934_CR25","unstructured":"Shukla SK, Iqbal M(2015) Orensic Analysis of the Saffron\u00a0: Rapid vol. 3, no. Iv"},{"issue":"3","key":"14934_CR26","doi-asserted-by":"publisher","first-page":"587","DOI":"10.5958\/2322-0430.2016.00180.3","volume":"12","author":"SP Singh","year":"2016","unstructured":"Singh SP, Kumar C, Kachroo J, Singh H, Hamid N, Kumar N (2016) An Economic Analysis of Mushroom Marketing in Jammu and Kashmir. Indian J Econ Dev 12(3):587. https:\/\/doi.org\/10.5958\/2322-0430.2016.00180.3","journal-title":"Indian J Econ Dev"},{"issue":"5","key":"14934_CR27","doi-asserted-by":"publisher","first-page":"1547","DOI":"10.1007\/s12161-016-0710-4","volume":"10","author":"S Varliklioz Er","year":"2017","unstructured":"Varliklioz Er S, Eksi-Kocak H, Yetim H, Boyaci IH (2017) Novel spectroscopic method for determination and quantification of saffron adulteration. Food Anal Methods 10(5):1547\u20131555. https:\/\/doi.org\/10.1007\/s12161-016-0710-4","journal-title":"Food Anal Methods"},{"issue":"6","key":"14934_CR28","doi-asserted-by":"publisher","first-page":"1793","DOI":"10.1111\/1541-4337.12492","volume":"18","author":"L Zhou","year":"2019","unstructured":"Zhou L, Zhang C, Liu F, Qiu Z, He Y (2019) Application of deep learning in food: a review. Compr Rev Food Sci Food Saf 18(6):1793\u20131811. https:\/\/doi.org\/10.1111\/1541-4337.12492","journal-title":"Compr Rev Food Sci Food Saf"},{"key":"14934_CR29","doi-asserted-by":"crossref","unstructured":"Shawky E, Abu El-Khair RA, Selim DA (2020) NIR spectroscopy-multivariate analysis for rapid authentication, detection and quantification of common plant adulterants in saffron (Crocus sativus L.) stigmas. LWT, 122, 109032.","DOI":"10.1016\/j.lwt.2020.109032"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-14934-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-14934-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-14934-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T14:52:50Z","timestamp":1744210370000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-14934-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,7]]},"references-count":29,"journal-issue":{"issue":"20","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["14934"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-14934-9","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,7]]},"assertion":[{"value":"2 January 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 September 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 February 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 March 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All the authors declare that they do not have any conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interest"}}]}}