{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T12:44:12Z","timestamp":1775738652440,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51365048"],"award-info":[{"award-number":["51365048"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3207778","type":"journal-article","created":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T20:02:31Z","timestamp":1663617751000},"page":"100286-100299","source":"Crossref","is-referenced-by-count":29,"title":["Application of Hyperspectral Technology Combined With Bat Algorithm-AdaBoost Model in Field Soil Nutrient Prediction"],"prefix":"10.1109","volume":"10","author":[{"given":"Huan","family":"Wang","sequence":"first","affiliation":[{"name":"College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9557-2516","authenticated-orcid":false,"given":"Lixin","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawei","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xue","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11119-020-09732-4"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1186\/s12870-020-02807-4"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11119-020-09731-5"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s13538-021-00876-w"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/HNICEM48295.2019.9072689"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/s20082270"},{"key":"ref37","first-page":"174","article-title":"Estimation of leaf chlorophyll content in wheat using hyperspectral vegetation indices","volume":"119","author":"pradhan","year":"2020","journal-title":"Current Sci"},{"key":"ref36","article-title":"Spatial molecular heterogeneity of POM during decomposition at different soil depths resolved by VNIR hyperspectral imaging","volume":"73","author":"guigue","year":"2021","journal-title":"Eur J Soil Sci"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoderma.2020.114664"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11119-020-09734-2"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3052478"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10705-019-10027-y"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11119-012-9266-5"},{"key":"ref2","year":"2020","journal-title":"In Brief to The State of Food Security and Nutrition in the World"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3233\/FRL-200016"},{"key":"ref20","first-page":"4","article-title":"Current situations, evolution trend, and improvement measures of soil organic matter in cultivated land of northeast China","volume":"14","author":"song","year":"2022","journal-title":"Asia Agricultural Research"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1134\/S1064229321020162"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s42452-020-03974-7"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.32604\/phyton.2021.014190"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0245040"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.agwat.2022.107618"},{"key":"ref25","article-title":"Supporting soil and land assessment with machine learning models using the vis-NIR spectral response","volume":"405","author":"gruszczy?ski","year":"2022","journal-title":"Geoderma"},{"key":"ref50","doi-asserted-by":"crossref","first-page":"1519","DOI":"10.3390\/rs13081519","article-title":"Using a one-dimensional convolutional neural network on visible and near-infrared spectroscopy to improve soil phosphorus prediction in madagascar","volume":"13","author":"razafimbelo","year":"2021","journal-title":"Remote Sens"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICEEE.2010.5661082"},{"key":"ref55","first-page":"88","article-title":"Effects of surface soil salinity on crop yield in the lower reaches of the Yellow River","volume":"2","author":"ding","year":"2004","journal-title":"Agricultural Eng"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5747138"},{"key":"ref53","volume":"85","author":"pedregosa","year":"2011","journal-title":"Scikit-learn Machine Learning in Python"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10161973"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s00425-022-03887-2"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1111\/ppl.13060"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11119-020-09729-z"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1071\/SR9800363"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.apsoil.2021.104255"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/ejss.13180"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3057865"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11119-014-9365-6"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1111\/ejss.13068"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10018-y"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoderma.2020.114528"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolecon.2010.09.014"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1126\/science.1065256"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/ldr.2364"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.catena.2021.105440"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11104-020-04769-w"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/agj2.20114"},{"key":"ref49","first-page":"4756","article-title":"Mixed-pooling-dropout for convolutional neural network regularization","volume":"34","author":"skourt","year":"2021","journal-title":"J King Saud Univ Comput Inf Sci"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.still.2021.105111"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2012.08.029"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.catena.2021.105222"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12538-6_6"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s10705-021-10170-5"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"2486","DOI":"10.1109\/LGRS.2015.2487226","article-title":"Feature extraction for hyperspectral imagery via ensemble localized manifold learning","volume":"12","author":"li","year":"2015","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.112223"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3039844"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-019-01038-w"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09895261.pdf?arnumber=9895261","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T20:45:31Z","timestamp":1665780331000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9895261\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3207778","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}