{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T19:08:55Z","timestamp":1770145735029,"version":"3.49.0"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers and Electronics in Agriculture"],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1016\/j.compag.2022.107056","type":"journal-article","created":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T05:52:30Z","timestamp":1653285150000},"page":"107056","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Low-rank-constraint-based machine vision algorithm for chaffer-sieve-clogging recognition of corn harvester"],"prefix":"10.1016","volume":"198","author":[{"given":"Rongqiang","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Jun","family":"Fu","sequence":"additional","affiliation":[]},{"given":"Zhi","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Luquan","family":"Ren","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.compag.2022.107056_b0005","first-page":"105","article-title":"Impacts of climate change on agriculture: evidence from china","volume":"76","author":"Chen","year":"2016","journal-title":"Ind. Crops Prod."},{"key":"10.1016\/j.compag.2022.107056_b0010","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.biosystemseng.2015.10.001","article-title":"Compressibility and equivalent bulk modulus of shelled corn","volume":"140","author":"Cheng","year":"2015","journal-title":"Biosyst. Eng."},{"key":"10.1016\/j.compag.2022.107056_b0015","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.indcrop.2016.07.032","article-title":"Assessment of key features of lignin from lignocellulosic crops: Stalks and roots of corn, cotton, sugarcane, and tobacco","volume":"92","author":"Esteves","year":"2016","journal-title":"Ind. Crops Prod."},{"issue":"6","key":"10.1016\/j.compag.2022.107056_b0020","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1111\/jfq.12245","article-title":"Comparison of various RGB image features for nondestructive prediction of ripening quality of \u201dalphonso\u201d mangoes for easy adoptability in machine vision applications: a multivariate approach","volume":"39","author":"Eyarkai","year":"2016","journal-title":"J. Food Qual."},{"key":"10.1016\/j.compag.2022.107056_b0025","series-title":"2019 ASABE Annual International Meeting","article-title":"Experiment on distribution of mixture in longitudinal axial flow threshing separation device for maize","author":"Fan","year":"2019"},{"issue":"311","key":"10.1016\/j.compag.2022.107056_b0030","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1090\/mcom\/3239","article-title":"Nuclear norm of higher-order tensors","volume":"87","author":"Friedland","year":"2018","journal-title":"Math. Comput."},{"issue":"4","key":"10.1016\/j.compag.2022.107056_b0035","doi-asserted-by":"crossref","first-page":"493","DOI":"10.31545\/intagr\/113490","article-title":"Effect of impact parameters and moisture content on kernel loss during corn snapping","volume":"33","author":"Fu","year":"2019","journal-title":"Int. Agrophys."},{"issue":"10","key":"10.1016\/j.compag.2022.107056_b0040","doi-asserted-by":"crossref","first-page":"3371","DOI":"10.3390\/app10103371","article-title":"Peeling damage recognition method for corn ear harvest using rgb image","volume":"10","author":"Fu","year":"2020","journal-title":"Appl. Sci."},{"issue":"18","key":"10.1016\/j.compag.2022.107056_b0045","doi-asserted-by":"crossref","first-page":"5130","DOI":"10.3390\/s20185130","article-title":"Scaling effects on chlorophyll content estimations with RGB camera mounted on a UAV platform using machine-learning methods","volume":"20","author":"Guo","year":"2020","journal-title":"Sensors"},{"key":"10.1016\/j.compag.2022.107056_b0050","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.fcr.2018.05.001","article-title":"Integrating mechanization with agronomy and breeding to ensure food security in china","volume":"224","author":"Huang","year":"2018","journal-title":"Field Crops Res."},{"key":"10.1016\/j.compag.2022.107056_b0055","doi-asserted-by":"crossref","first-page":"105208","DOI":"10.1016\/j.compag.2019.105208","article-title":"Mechanization status based on machinery utilization and workers\u2019 workload in sweet corn cultivation in Malaysia","volume":"169","author":"Isaak","year":"2020","journal-title":"Comput. Electron. Agric."},{"issue":"2","key":"10.1016\/j.compag.2022.107056_b0060","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.compag.2005.05.005","article-title":"Laboratory measurement of seed drill seed spacing and velocity of fall of seeds using high-speed camera system","volume":"50","author":"Karayel","year":"2006","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107056_b0065","first-page":"127","article-title":"Design and experiment of bionic discrete devices based on corn threshing system","volume":"51","author":"Li","year":"2016","journal-title":"Chem. Eng. Trans."},{"issue":"4","key":"10.1016\/j.compag.2022.107056_b0070","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1006\/jaer.1994.1085","article-title":"Real-time detection of colour and surface defects of maize kernels using machine vision","volume":"59","author":"Liao","year":"1994","journal-title":"J. Agric. Eng. Res."},{"key":"10.1016\/j.compag.2022.107056_b0075","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.compag.2018.07.019","article-title":"Effects of throughput and operating parameters on cleaning performance in air-and-screen cleaning unit: A computational and experimental study","volume":"152","author":"Li","year":"2018","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107056_b0080","doi-asserted-by":"crossref","first-page":"106149","DOI":"10.1016\/j.compag.2021.106149","article-title":"In-field tea shoot detection and 3D localization using an RGB-D camera","volume":"185","author":"Li","year":"2021","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107056_b0085","doi-asserted-by":"crossref","first-page":"106491","DOI":"10.1016\/j.compag.2021.106491","article-title":"Recent advances in image fusion technology in agriculture","volume":"191","author":"Li","year":"2021","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107056_b0090","doi-asserted-by":"crossref","first-page":"68281","DOI":"10.1109\/ACCESS.2019.2916842","article-title":"Broken corn detection based on an adjusted YOLO with focal loss","volume":"7","author":"Liu","year":"2019","journal-title":"IEEE Access"},{"issue":"4","key":"10.1016\/j.compag.2022.107056_b0095","doi-asserted-by":"crossref","first-page":"480","DOI":"10.15232\/aas.2020-01993","article-title":"Predicting in situ dry matter disappearance of chopped and processed corn kernels using image-analysis techniques","volume":"36","author":"Luck","year":"2020","journal-title":"Appl. Anim. Sci."},{"issue":"2","key":"10.1016\/j.compag.2022.107056_b0100","first-page":"20","article-title":"Current status and future prospect of the agricultural mechanization in brazil","volume":"50","author":"Mantovani","year":"2020","journal-title":"AMA Agric. Mech. Asia Afr. Latin Am."},{"issue":"18","key":"10.1016\/j.compag.2022.107056_b0105","doi-asserted-by":"crossref","first-page":"2783","DOI":"10.1080\/01904167.2021.1921197","article-title":"Plant growth stage and leaf part to diagnose sweet corn nitrogen status using chlorophyll sensor and scanner image analysis","volume":"44","author":"Milagres","year":"2021","journal-title":"J. Plant Nutr."},{"issue":"6","key":"10.1016\/j.compag.2022.107056_b0110","first-page":"4103","article-title":"A novel threshold to identify plant textures in agricultural images by Otsu and Principal Component Analysis","volume":"34","author":"Montalvo","year":"2018","journal-title":"J. Intell. Fuzzy Syst."},{"issue":"5","key":"10.1016\/j.compag.2022.107056_b0115","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.3390\/rs13051009","article-title":"A fixed-threshold method for estimating fractional vegetation cover of maize under different levels of water stress","volume":"13","author":"Niu","year":"2021","journal-title":"Remote Sens."},{"key":"10.1016\/j.compag.2022.107056_b0120","doi-asserted-by":"crossref","first-page":"553","DOI":"10.5755\/j01.mech.22.6.16370","article-title":"Substantiation of concave crossbars shape for corn ears threshing","volume":"6","author":"Puzauskas","year":"2016","journal-title":"Mechanika"},{"issue":"3","key":"10.1016\/j.compag.2022.107056_b0125","first-page":"731","article-title":"Comparison of corn production costs in china, the us and brazil and its implications","volume":"17","author":"Qian","year":"2016","journal-title":"Agric. Sci. Technol."},{"key":"10.1016\/j.compag.2022.107056_b0130","doi-asserted-by":"crossref","unstructured":"Qiao, L., Zhang, Z., Chen, L., Sun, H., Li, M., Li, L., Ma, J., 2019. Detection of chlorophyll content in maize canopy from UAV imagery. In: 6th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture, vol. 52, no. 30, pp. 330\u2013335.","DOI":"10.1016\/j.ifacol.2019.12.561"},{"issue":"7","key":"10.1016\/j.compag.2022.107056_b0135","doi-asserted-by":"crossref","first-page":"3195","DOI":"10.1007\/s13197-019-03745-2","article-title":"Identification of fungi-contaminated peanuts using hyperspectral imaging technology and joint sparse representation model","volume":"56","author":"Qi","year":"2019","journal-title":"J. Food Sci. Technol. Mysore"},{"key":"10.1016\/j.compag.2022.107056_b0140","series-title":"2017 ASABE Annual International Meeting","article-title":"The design and experiment of longitudinal axial flow maize threshing and separating device","author":"Qu","year":"2017"},{"key":"10.1016\/j.compag.2022.107056_b0145","doi-asserted-by":"crossref","first-page":"106052","DOI":"10.1016\/j.compag.2021.106052","article-title":"Improved multi-classes kiwifruit detection in orchard to avoid collisions during robotic picking","volume":"182","author":"Suo","year":"2021","journal-title":"Comput. Electron. Agric."},{"issue":"8","key":"10.1016\/j.compag.2022.107056_b0150","doi-asserted-by":"crossref","first-page":"2803","DOI":"10.3390\/app10082803","article-title":"Feasibility of utilizing biodegradable plastic film to cover corn silage under farm conditions","volume":"10","author":"Tabacco","year":"2020","journal-title":"Appl. Sci."},{"key":"10.1016\/j.compag.2022.107056_b0155","doi-asserted-by":"crossref","first-page":"106577","DOI":"10.1016\/j.compag.2021.106577","article-title":"Row anchor selection classification method for early-stage crop row-following","volume":"192","author":"Wei","year":"2022","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107056_b0160","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.compag.2018.07.014","article-title":"Multi-level learning features for automatic classification of field crop pests","volume":"152","author":"Xie","year":"2018","journal-title":"Comput. Electron. Agric."},{"issue":"24","key":"10.1016\/j.compag.2022.107056_b0165","doi-asserted-by":"crossref","first-page":"4040","DOI":"10.3390\/rs12244040","article-title":"Spectrum- and RGB-D-Based image fusion for the prediction of nitrogen accumulation in wheat","volume":"12","author":"Xu","year":"2020","journal-title":"Remote Sens."},{"issue":"9","key":"10.1016\/j.compag.2022.107056_b0170","doi-asserted-by":"crossref","first-page":"904","DOI":"10.3390\/agriculture11090904","article-title":"Optimization design and experiment of ear-picking and threshing devices of corn plot kernel harvester","volume":"11","author":"Yang","year":"2021","journal-title":"Agriculture"},{"key":"10.1016\/j.compag.2022.107056_b0175","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1016\/j.compag.2017.11.013","article-title":"Joint distances by sparse representation and locality-constrained dictionary learning for robust leaf recognition","volume":"142","author":"Zeng","year":"2017","journal-title":"Comput. Electron. Agric."}],"container-title":["Computers and Electronics in Agriculture"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169922003738?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169922003738?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T13:40:13Z","timestamp":1759153213000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168169922003738"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":35,"alternative-id":["S0168169922003738"],"URL":"https:\/\/doi.org\/10.1016\/j.compag.2022.107056","relation":{},"ISSN":["0168-1699"],"issn-type":[{"value":"0168-1699","type":"print"}],"subject":[],"published":{"date-parts":[[2022,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Low-rank-constraint-based machine vision algorithm for chaffer-sieve-clogging recognition of corn harvester","name":"articletitle","label":"Article Title"},{"value":"Computers and Electronics in Agriculture","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compag.2022.107056","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107056"}}