{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T23:24:30Z","timestamp":1771889070191,"version":"3.50.1"},"reference-count":31,"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":["2021SZD0026"],"award-info":[{"award-number":["2021SZD0026"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31760345"],"award-info":[{"award-number":["31760345"]}],"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.2022.3230355","type":"journal-article","created":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T19:45:01Z","timestamp":1671479101000},"page":"132183-132192","source":"Crossref","is-referenced-by-count":10,"title":["Study on Deep Learning Model for Online Estimation of Chlorophyll Content Based on Near Ground Multispectral Feature Bands"],"prefix":"10.1109","volume":"10","author":[{"given":"Jiaxing","family":"Gao","sequence":"first","affiliation":[{"name":"Key Laboratory of Wireless Networks and Mobile Computing, School of Computer Science, Inner Mongolia University, Hohhot, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7754-0385","authenticated-orcid":false,"given":"Zhibin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Wireless Networks and Mobile Computing, School of Computer Science, Inner Mongolia University, Hohhot, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s20185130"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/2161\/1\/012044"},{"key":"ref3","article-title":"A multispectral imaging and semantic computing system for agricultural monitoring and analysis","volume-title":"Information Modelling and Knowledge Bases","author":"Wijitdechakul","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.atech.2021.100005"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.saa.2021.119666"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.inpa.2021.10.001"},{"key":"ref7","first-page":"8","article-title":"Development and application of crop monitoring system for detecting chlorophyll content of tomato seedlings","volume":"7","author":"Qian","year":"2014","journal-title":"Biol. Eng."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/rs11222706"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2017.10.012"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.rsase.2019.100235"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2015.02.012"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2017.06.012"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/agro-geoinformatics.2014.6910567"},{"issue":"1","key":"ref14","first-page":"156","article-title":"Estimation models for jujube leaf pigment concentration with hyperspectrum data at canopy scale","volume":"37","author":"Liu","year":"2017","journal-title":"Guang Pu Xue Yu Guang Pu Fen Xi"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.105989"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2020.105966"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1177\/0003702818755142"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2991\/mmsa-18.2018.99"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.08.084"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.08.131"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s42729-021-00600-2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/rs12162650"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.13031\/aea.13794"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/s0169-7439(01)00119-8"},{"issue":"8","key":"ref25","first-page":"1402","article-title":"Wavelength Selection Method for Near Infrared Spectroscopy Based on Iteratively Retains Informative Variables and Successive Projections Algorithm.pdf","volume":"49","author":"Cheng","year":"2021","journal-title":"Chin. J. Anal. Chem."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2013.11.032"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.23919\/chicc.2019.8866496"},{"key":"ref28","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014","journal-title":"arXiv:1412.3555"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/s20092458"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/1428104"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.scienta.2018.11.030"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09991996.pdf?arnumber=9991996","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T23:32:24Z","timestamp":1710372744000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9991996\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3230355","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}