{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T05:05:06Z","timestamp":1751432706145,"version":"3.37.3"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,4,13]],"date-time":"2024-04-13T00:00:00Z","timestamp":1712966400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,13]],"date-time":"2024-04-13T00:00:00Z","timestamp":1712966400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"DST","award":["DST\/CURIE-PG\/2022\/71"],"award-info":[{"award-number":["DST\/CURIE-PG\/2022\/71"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-024-02790-9","type":"journal-article","created":{"date-parts":[[2024,4,13]],"date-time":"2024-04-13T13:01:42Z","timestamp":1713013302000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Classification of Crop Across Heterogeneous Landscape Through Experienced Artificial Bee Colony"],"prefix":"10.1007","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9510-4176","authenticated-orcid":false,"given":"H. K.","family":"Ravikiran","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9576-1827","authenticated-orcid":false,"given":"J.","family":"Jayanth","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. S.","family":"Sathisha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G. H.","family":"Yogeesh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Dileep","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,13]]},"reference":[{"issue":"4","key":"2790_CR1","doi-asserted-by":"publisher","first-page":"2231","DOI":"10.1007\/s12145-021-00685-4","volume":"14","author":"J Balha","year":"2021","unstructured":"Balha J, Mallick S, Pandey SG, Singh CK. A comparative analysis of different pixel and object-based classification algorithms using multi-source high spatial resolution satellite data for LULC mapping. Earth Sci Informat. 2021;14(4):2231\u201347. https:\/\/doi.org\/10.1007\/s12145-021-00685-4.","journal-title":"Earth Sci Informat"},{"issue":"5","key":"2790_CR2","doi-asserted-by":"publisher","first-page":"601","DOI":"10.3390\/rs11050601","volume":"11","author":"S Pareeth","year":"2019","unstructured":"Pareeth S, Karimi P, Shafiei M, De Fraiture C. \u2018Mapping agri- cultural landuse patterns from time series of landsat 8 using random forest based hierarchial approach.\u2019 Remote Sens. 2019;11(5):601. https:\/\/doi.org\/10.3390\/rs11050601.","journal-title":"Remote Sens"},{"key":"2790_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/LGRS.2021.3086117","volume":"19","author":"R Zhang","year":"2022","unstructured":"Zhang R, Chen J, Feng L, Li S, Yang W, Guo D. \u2018A refined pyramid scene parsing network for polarimetric SAR image semantic segmentation in agricultural areas.\u2019 IEEE Geosci Remote Sens Lett. 2022;19:1\u20135. https:\/\/doi.org\/10.1109\/LGRS.2021.3086117.","journal-title":"IEEE Geosci Remote Sens Lett"},{"issue":"5","key":"2790_CR4","first-page":"650","volume":"159","author":"B Sergio","year":"2019","unstructured":"Sergio B, Marti\u00f1o C, Neftal\u00ed D, Manuel G, Horacio N, Novo J. Fully automatic multi-temporal land cover classification using Sentinel-2 image data - ScienceDirect. Proc Comput Sci. 2019;159(5):650\u20137.","journal-title":"Proc Comput Sci"},{"key":"2790_CR5","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1615\/JAutomatInfScien.v44.i5.70","volume":"44","author":"J Gallego","year":"2012","unstructured":"Gallego J, Kravchenko A, Kussul N, Skakun S, Shelestov A, Grypych Y. Efficiency assessment of different approaches to crop classification based on satellite and ground observations. J Autom Inf Sci. 2012;44:67\u201380.","journal-title":"J Autom Inf Sci"},{"key":"2790_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrs.2015.09.001","author":"J Jayanth","year":"2016","unstructured":"Jayanth J, Ashok Kumar T, Koliwad S, Krishnashastry S. Identification of land cover changes in the coastal area of Dakshina Kannada district, South India during the year 2004\u20132008. Egypt J Remote Sens Space Sci. 2016. https:\/\/doi.org\/10.1016\/j.ejrs.2015.09.001.","journal-title":"Egypt J Remote Sens Space Sci"},{"key":"2790_CR7","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.isprsjprs.2013.08.007","volume":"85","author":"F L\u00f6w","year":"2013","unstructured":"L\u00f6w F, Michel U, Dech S, Conrad C. Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using support vector machines. ISPRS J Photogramm Remote Sens. 2013;85:102\u201319.","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"2790_CR8","doi-asserted-by":"publisher","first-page":"2227","DOI":"10.1080\/01431160701395203","volume":"29","author":"A Mathur","year":"2008","unstructured":"Mathur A, Foody GM. Crop classification by support vector machine with intelligently selected training data for an operational application. Int J Remote Sens. 2008;29:2227\u201340.","journal-title":"Int J Remote Sens"},{"key":"2790_CR9","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/s12524-008-0018-y","volume":"36","author":"SN Omkar","year":"2008","unstructured":"Omkar SN, Senthilnath J, Mudigere D, Kumar MM. Crop classification using biologically-inspired techniques with high resolution satellite image. J Indian Soc Remote Sens. 2008;36:175\u201382.","journal-title":"J Indian Soc Remote Sens"},{"key":"2790_CR10","doi-asserted-by":"publisher","first-page":"1349","DOI":"10.1109\/TGRS.2015.2478379","volume":"54","author":"A Romero","year":"2016","unstructured":"Romero A, Gatta C, Camps-valls G, Member S. Unsupervised deep feature extraction for remote sensing image classification. IEEE Trans Geosci Remote Sens. 2016;54:1349\u201362. https:\/\/doi.org\/10.1109\/TGRS.2015.2478379.","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"4","key":"2790_CR11","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1109\/MGRS.2017.2762307","volume":"5","author":"XX Zhu","year":"2017","unstructured":"Zhu XX, Tuia D, Mou L, Xia GS, Zhang L. \u2018Deep learning in remote sensing: a comprehensive review and list of resources.\u2019 IEEE Geosci Remote Sens Mag. 2017;5(4):8\u201336. https:\/\/doi.org\/10.1109\/MGRS.2017.2762307.","journal-title":"IEEE Geosci Remote Sens Mag"},{"key":"2790_CR12","doi-asserted-by":"publisher","first-page":"4721","DOI":"10.3390\/s110504721","volume":"11","author":"Y Zhang","year":"2011","unstructured":"Zhang Y, Wu L. Crop classification by forward neural network with adaptive chaotic particle swarm optimization. Sensors. 2011;11:4721\u201343.","journal-title":"Sensors"},{"key":"2790_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2022\/2232000","volume":"2022","author":"SK Hossain","year":"2022","unstructured":"Hossain SK, Ema S, Sohn H. Rule-based classification based on ant colony optimization: a comprehensive review. Appl Comput Intell Soft Comput. 2022;2022:1\u201317. https:\/\/doi.org\/10.1155\/2022\/2232000.","journal-title":"Appl Comput Intell Soft Comput"},{"key":"2790_CR14","doi-asserted-by":"publisher","first-page":"5109","DOI":"10.1080\/01431161.2021.1906979","volume":"42","author":"BL Kumar Phaneendra","year":"2021","unstructured":"Kumar Phaneendra BL, Prabukumar Manoharan N. Whale optimization-based band selection technique for hyperspectral image classification. Int J Remote Sens. 2021;42:5109\u201347. https:\/\/doi.org\/10.1080\/01431161.2021.1906979.","journal-title":"Int J Remote Sens."},{"issue":"24","key":"2790_CR15","doi-asserted-by":"publisher","first-page":"4135","DOI":"10.3390\/rs12244135","volume":"12","author":"GB Rajendran","year":"2020","unstructured":"Rajendran GB, Kumarasamy UM, Zarro C, Divakarachari PB, Ullo SL. Land-use and land-cover classification using a human group-based particle swarm optimization algorithm with an LSTM classifier on hybrid pre-processing remote-sensing images. Remote Sens. 2020;12(24):4135. https:\/\/doi.org\/10.3390\/rs12244135.","journal-title":"Remote Sens"},{"key":"2790_CR16","doi-asserted-by":"publisher","first-page":"3019","DOI":"10.3390\/rs14133019","volume":"14","author":"Y Shang","year":"2022","unstructured":"Shang Y, Zheng X, Li J, Liu D, Wang P. A comparative analysis of swarm intelligence and evolutionary algorithms for feature selection in SVM-based hyperspectral image classification. Remote Sens. 2022;14:3019. https:\/\/doi.org\/10.3390\/rs14133019.","journal-title":"Remote Sens"},{"key":"2790_CR17","doi-asserted-by":"publisher","first-page":"25789","DOI":"10.1109\/ACCESS.2020.2971327","volume":"8","author":"X Ding","year":"2020","unstructured":"Ding X, Li H, Yang J, Dale P, Chen X, Jiang C, Zhang S. An improved ant colony algorithm for optimized band selection of hyperspectral remotely sensed imagery. IEEE Access. 2020;8:25789\u201399.","journal-title":"IEEE Access"},{"key":"2790_CR18","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.knosys.2018.12.031","volume":"168","author":"M Wang","year":"2019","unstructured":"Wang M, Wu C, Wang L, Xiang D, Huang X. A feature selection approach for hyperspectral image based on modified ant lion optimizer. Knowl Based Syst. 2019;168:39\u201348.","journal-title":"Knowl Based Syst"},{"key":"2790_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113377","volume":"152","author":"A Faramarzi","year":"2020","unstructured":"Faramarzi A, Heidarinejad M, Mirjalili S, Gandomi AH. Marine predators algorithm: a nature-inspired metaheuristic. Expert Syst Appl. 2020;152: 113377.","journal-title":"Expert Syst Appl"},{"key":"2790_CR20","doi-asserted-by":"publisher","first-page":"4966","DOI":"10.3390\/rs13244966","volume":"13","author":"R Liu","year":"2021","unstructured":"Liu R, Peng J, Leng Y, Lee S, Panahi M, Chen W, Zhao X. Hybrids of support vector regression with grey wolf optimizer and firefly algorithm for spatial prediction of landslide susceptibility. Remote Sens. 2021;13:4966. https:\/\/doi.org\/10.3390\/rs13244966.","journal-title":"Remote Sens"},{"issue":"10","key":"2790_CR21","doi-asserted-by":"publisher","first-page":"1938","DOI":"10.18520\/cs\/v115\/i10\/1938-1942","volume":"115","author":"J Jayanth","year":"2018","unstructured":"Jayanth J, Ashok Kumar T, Koliwad S. \u201cFusion of multispectral and panchromatic data using regionally weighted principal component analysis and wavelet. Curr Sci. 2018;115(10):1938\u201342.","journal-title":"Curr Sci"},{"issue":"2","key":"2790_CR22","first-page":"126","volume":"117","author":"J Jayanth","year":"2017","unstructured":"Jayanth J, Ashok Kumar T, Shivaprakash K, Shalini VS. Classification of remote sensed data using hybrid method based on ant colony optimisation with electromagnetic metaheuristic. Curr sci. 2017;117(2):126\u201334.","journal-title":"Curr sci"},{"issue":"1","key":"2790_CR23","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.ejrs.2015.09.001","volume":"19","author":"J Jayanth","year":"2016","unstructured":"Jayanth J. Identification of land cover changes in the coastal area of Dakshina Kannada district, South India during the year 2004\u20132008. Egypt J Remote Sens Space Sci Elsivers. 2016;19(1):73\u201393. https:\/\/doi.org\/10.1016\/j.ejrs.2015.09.001.","journal-title":"Egypt J Remote Sens Space Sci Elsivers"},{"key":"2790_CR24","doi-asserted-by":"crossref","unstructured":"Jayanth J, Ravikiran HK, Madhu KM. Classification of Crops through Self-Supervised Decomposition for Transfer Learning, J Aridland Agric. 2023;9:81\u201391.","DOI":"10.25081\/jaa.2023.v9.8566"},{"key":"2790_CR25","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/4063354","author":"AM Hilal","year":"2022","unstructured":"Hilal AM, Alsolai H, Al-Wesabi FN, Nour MK, Motwakel A, Kumar A, Yaseen I, Zamani AS. Fuzzy cognitive maps with bird swarm intelligence optimization-based remote sensing image classification. Comput Intell Neurosci. 2022. https:\/\/doi.org\/10.1155\/2022\/4063354.","journal-title":"Comput Intell Neurosci"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-02790-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-024-02790-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-02790-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,13]],"date-time":"2024-04-13T13:13:08Z","timestamp":1713013988000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-024-02790-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,13]]},"references-count":25,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2024,4]]}},"alternative-id":["2790"],"URL":"https:\/\/doi.org\/10.1007\/s42979-024-02790-9","relation":{},"ISSN":["2661-8907"],"issn-type":[{"type":"electronic","value":"2661-8907"}],"subject":[],"published":{"date-parts":[[2024,4,13]]},"assertion":[{"value":"20 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 March 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 April 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors do not possess any conflicting interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}],"article-number":"428"}}