{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,23]],"date-time":"2026-05-23T14:04:55Z","timestamp":1779545095539,"version":"3.53.1"},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers and Electronics in Agriculture"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.compag.2026.111870","type":"journal-article","created":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T15:56:37Z","timestamp":1778428597000},"page":"111870","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Multi-source remote sensing of banana LAI across full growth cycle using canopy spectral-morphological features and temporal Transformer-LSTM"],"prefix":"10.1016","volume":"249","author":[{"given":"Shaoming","family":"Lin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0574-5375","authenticated-orcid":false,"given":"Juan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuchang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianpeng","family":"Ji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.compag.2026.111870_b0005","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.isprsjprs.2014.05.013","article-title":"Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels","volume":"95","author":"Adelabu","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.compag.2026.111870_b0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2025.110356","article-title":"Appropriate vegetation indices and data analysis methods for orchards monitoring using UAV-based remote sensing: a comprehensive research","volume":"235","author":"Bagheri","year":"2025","journal-title":"Comput. Electron. Agric."},{"issue":"392","key":"10.1016\/j.compag.2026.111870_b0015","doi-asserted-by":"crossref","first-page":"2403","DOI":"10.1093\/jxb\/erg263","article-title":"Ground\u2010based measurements of leaf area index: a review of methods, instruments and current controversies","volume":"54","author":"Br\u00e9da","year":"2003","journal-title":"J. Exp. Bot."},{"key":"10.1016\/j.compag.2026.111870_b0020","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.isprsjprs.2014.02.013","article-title":"Unmanned aerial systems for photogrammetry and remote sensing: a review","volume":"92","author":"Colomina","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"issue":"6","key":"10.1016\/j.compag.2026.111870_b0025","doi-asserted-by":"crossref","first-page":"2571","DOI":"10.1109\/JSTARS.2014.2330352","article-title":"Unmixing-based fusion of hyperspatial and hyperspectral airborne imagery for early detection of vegetation stress","volume":"7","author":"Delalieux","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"issue":"1","key":"10.1016\/j.compag.2026.111870_b0030","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/0034-4257(92)90059-S","article-title":"A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency","volume":"41","author":"Gamon","year":"1992","journal-title":"Remote Sens. Environ."},{"issue":"2","key":"10.1016\/j.compag.2026.111870_b0035","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1078\/0176-1617-01176","article-title":"Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation","volume":"161","author":"Gitelson","year":"2004","journal-title":"J. Plant Physiol."},{"issue":"8","key":"10.1016\/j.compag.2026.111870_b0040","doi-asserted-by":"crossref","DOI":"10.1029\/2005GL022688","article-title":"Remote estimation of canopy chlorophyll content in crops","volume":"32","author":"Gitelson","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"10.1016\/j.compag.2026.111870_b0045","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.rse.2015.02.023","article-title":"Estimating aboveground biomass and leaf area of low-stature Arctic shrubs with terrestrial LiDAR","volume":"164","author":"Greaves","year":"2015","journal-title":"Remote Sens. Environ."},{"issue":"8","key":"10.1016\/j.compag.2026.111870_b0050","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput."},{"issue":"3","key":"10.1016\/j.compag.2026.111870_b0055","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(88)90106-X","article-title":"A soil-adjusted vegetation index (SAVI)","volume":"25","author":"Huete","year":"1988","journal-title":"Remote Sens. Environ."},{"issue":"4","key":"10.1016\/j.compag.2026.111870_b0060","doi-asserted-by":"crossref","first-page":"663","DOI":"10.2307\/1936256","article-title":"Derivation of leaf-area index from quality of light on the forest floor","volume":"50","author":"Jordan","year":"1969","journal-title":"Ecology"},{"key":"10.1016\/j.compag.2026.111870_b0065","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.rse.2017.06.023","article-title":"Structure from motion will revolutionize analyses of tidal wetland landscapes","volume":"199","author":"Kalacska","year":"2017","journal-title":"Remote Sens. Environ."},{"issue":"15","key":"10.1016\/j.compag.2026.111870_b0070","doi-asserted-by":"crossref","first-page":"1763","DOI":"10.3390\/rs11151763","article-title":"Combining color indices and textures of UAV-based digital imagery for rice LAI estimation","volume":"11","author":"Li","year":"2019","journal-title":"Remote Sens. (Basel)"},{"key":"10.1016\/j.compag.2026.111870_b0075","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1016\/j.ecolind.2016.03.036","article-title":"Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system","volume":"67","author":"Li","year":"2016","journal-title":"Ecol. Ind."},{"key":"10.1016\/j.compag.2026.111870_b0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2023.108169","article-title":"Leaf area index estimation under wheat powdery mildew stress by integrating UAV\u2011based spectral, textural and structural features","volume":"213","author":"Liu","year":"2023","journal-title":"Comput. Electron. Agric."},{"issue":"2","key":"10.1016\/j.compag.2026.111870_b0085","doi-asserted-by":"crossref","first-page":"690","DOI":"10.1109\/JSTARS.2013.2248345","article-title":"Detecting aphid density of winter wheat leaf using hyperspectral measurements","volume":"6","author":"Luo","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"10.1016\/j.compag.2026.111870_b0090","article-title":"Modeling of winter wheat fAPAR by integrating Unmanned Aircraft Vehicle-based optical, structural and thermal measurement","volume":"102","author":"Lv","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.compag.2026.111870_b0095","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.isprsjprs.2019.03.003","article-title":"Vegetation index weighted canopy volume model (CVMVI) for soybean biomass estimation from unmanned aerial system-based RGB imagery","volume":"151","author":"Maimaitijiang","year":"2019","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"issue":"5","key":"10.1016\/j.compag.2026.111870_b0100","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1016\/j.rse.2009.12.009","article-title":"Comparison of four global FAPAR datasets over Northern Eurasia for the year 2000","volume":"114","author":"McCallum","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.compag.2026.111870_b0105","unstructured":"Meier, U., 2001. BBCH Monograph : growth stages of mono-and dicotyledonous plants (2. Edition). Federal Biological Research Centre for Agriculture and Forestry. https:\/\/www.openagrar.de\/receive\/openagrar_mods_00036304."},{"issue":"1","key":"10.1016\/j.compag.2026.111870_b0110","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1071\/PP9900057","article-title":"Water relations of the banana. I. Predicting the water relations of the field-grown banana using the exuding latex","volume":"17","author":"Milburn","year":"1990","journal-title":"Funct. Plant Biol."},{"key":"10.1016\/j.compag.2026.111870_b0115","unstructured":"Mosca, E., Szigeti, F., Tragianni, S., Gallagher, D., Groh, G., 2022. SHAP-based explanation methods: a review for NLP interpretability. In Calzolari, N., Huang, C.-R., Kim, H., Pustejovsky, J., Wanner, L., Choi, K.-S., Ryu, P.-M., Chen, H.-H., Donatelli, L., Ji, H., Kurohashi, S., Paggio, P., Xue, N., Kim, S., Hahm, Y., He, Z., Lee. T.K., Santus. E., Bond, F., Na, S.-H. (Eds.), Proceedings of the 29th International Conference on Computational Linguistics (pp. 4593\u20134603). International Committee on Computational Linguistics. https:\/\/aclanthology.org\/2022.coling-1.406\/."},{"key":"10.1016\/j.compag.2026.111870_b0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.scienta.2020.109735","article-title":"Identifying opportunities to improve management of water stress in banana production","volume":"276","author":"Panigrahi","year":"2021","journal-title":"Sci. Hortic."},{"key":"10.1016\/j.compag.2026.111870_b0125","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.agrformet.2018.10.007","article-title":"Assessing the variability and uncertainty of two-flux FAPAR measurements in a conifer-dominated forest","volume":"264","author":"Putzenlechner","year":"2019","journal-title":"Agric. For. Meteorol."},{"issue":"2","key":"10.1016\/j.compag.2026.111870_b0130","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/0034-4257(94)90134-1","article-title":"A modified soil adjusted vegetation index","volume":"48","author":"Qi","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.compag.2026.111870_b0135","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2021.106603","article-title":"Improving estimation of LAI dynamic by fusion of morphological and vegetation indices based on UAV imagery","volume":"192","author":"Qiao","year":"2022","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111870_b0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.fcr.2022.108739","article-title":"Estimating maize LAI by exploring deep features of vegetation index map from UAV multispectral images","volume":"289","author":"Qiao","year":"2022","journal-title":"Field Crop Res"},{"issue":"1","key":"10.1016\/j.compag.2026.111870_b0145","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1023\/A:1006449230436","article-title":"Intercropping of immature rubber in Sri Lanka: present status and financial analysis of intercrops planted at three densities of banana","volume":"51","author":"Rodrigo","year":"2001","journal-title":"Agrofor. Syst."},{"issue":"9","key":"10.1016\/j.compag.2026.111870_b0150","doi-asserted-by":"crossref","first-page":"1809","DOI":"10.3390\/agronomy11091809","article-title":"Using remote sensing and an unmanned aerial system for weed management in agricultural crops: a review","volume":"11","author":"Roslim","year":"2021","journal-title":"Agronomy"},{"issue":"7","key":"10.1016\/j.compag.2026.111870_b0155","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1016\/j.rse.2010.01.012","article-title":"A comparison of multi-spectral, multi-angular, and multi-temporal remote sensing datasets for fractional shrub canopy mapping in Arctic Alaska","volume":"114","author":"Selkowitz","year":"2010","journal-title":"Remote Sens. Environ."},{"issue":"6","key":"10.1016\/j.compag.2026.111870_b0160","doi-asserted-by":"crossref","first-page":"539","DOI":"10.5589\/m08-071","article-title":"A comparison of NDVI and MTVI2 for estimating LAI using CHRIS imagery: a case study in wheat","volume":"34","author":"Smith","year":"2008","journal-title":"Can. J. Remote. Sens."},{"key":"10.1016\/j.compag.2026.111870_b0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.scienta.2020.109328","article-title":"Canopy cover evolution, diurnal patterns and leaf area index relationships in a Mchare and Cavendish banana cultivar under different soil moisture regimes","volume":"272","author":"Stevens","year":"2020","journal-title":"Sci. Hortic."},{"issue":"3","key":"10.1016\/j.compag.2026.111870_b0170","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1080\/14620316.1998.11510994","article-title":"Leaf gas exchange of droughted and irrigated banana cv. Williams (Musa spp.) growing in hot, arid conditions","volume":"73","author":"Thomas","year":"1998","journal-title":"J. Hortic Sci. Biotech."},{"key":"10.1016\/j.compag.2026.111870_b0175","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1590\/S1677-04202007000400013","article-title":"Environmental physiology of the bananas (Musa spp.)","volume":"19","author":"Turner","year":"2007","journal-title":"Braz. J. Plant Physiol."},{"key":"10.1016\/j.compag.2026.111870_b0180","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141. ukasz, Polosukhin, I., 2017. Attention is all you need. advances in neural information processing systems, 30. https:\/\/proceedings.neurips.cc\/paper\/2017\/hash\/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html."},{"issue":"2","key":"10.1016\/j.compag.2026.111870_b0185","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/S0034-4257(96)00069-7","article-title":"Potential and limitations of information extraction on the terrestrial biosphere from satellite remote sensing","volume":"58","author":"Verstraete","year":"1996","journal-title":"Remote Sens. Environ."},{"issue":"1","key":"10.1016\/j.compag.2026.111870_b0190","doi-asserted-by":"crossref","first-page":"11","DOI":"10.3390\/rs9010011","article-title":"Estimating the biomass of maize with hyperspectral and LiDAR data","volume":"9","author":"Wang","year":"2017","journal-title":"Remote Sens. (Basel)"},{"issue":"20","key":"10.1016\/j.compag.2026.111870_b0195","doi-asserted-by":"crossref","first-page":"3457","DOI":"10.3390\/rs12203457","article-title":"Estimation of LAI with the LiDAR technology: a review","volume":"12","author":"Wang","year":"2020","journal-title":"Remote Sens. (Basel)"},{"key":"10.1016\/j.compag.2026.111870_b0200","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.109205","article-title":"Long-term video activity monitoring and anomaly alerting of group-housed pigs","volume":"224","author":"Yang","year":"2024","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111870_b0205","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1016\/j.rse.2011.10.007","article-title":"Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera","volume":"117","author":"Zarco-Tejada","year":"2012","journal-title":"Remote Sens. Environ."},{"issue":"10","key":"10.1016\/j.compag.2026.111870_b0210","first-page":"1843","article-title":"Research progress on the integrated control of Fusarium wilt disease in banana","volume":"54","author":"Zhang","year":"2024","journal-title":"Scientia Sinica Vitae"}],"container-title":["Computers and Electronics in Agriculture"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926004655?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926004655?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,23]],"date-time":"2026-05-23T13:08:29Z","timestamp":1779541709000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168169926004655"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":42,"alternative-id":["S0168169926004655"],"URL":"https:\/\/doi.org\/10.1016\/j.compag.2026.111870","relation":{},"ISSN":["0168-1699"],"issn-type":[{"value":"0168-1699","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Multi-source remote sensing of banana LAI across full growth cycle using canopy spectral-morphological features and temporal Transformer-LSTM","name":"articletitle","label":"Article Title"},{"value":"Computers and Electronics in Agriculture","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compag.2026.111870","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"111870"}}