{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T20:07:37Z","timestamp":1783973257267,"version":"3.55.0"},"reference-count":34,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100007540","name":"Jiangsu Provincial Agricultural Science and Technology Innovation Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007540","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":[[2026,9]]},"DOI":"10.1016\/j.compag.2026.112091","type":"journal-article","created":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T19:56:09Z","timestamp":1782590169000},"page":"112091","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Estimation model of total flavonoids content in Ginkgo biloba leaves based on airborne hyperspectral canopy image"],"prefix":"10.1016","volume":"252","author":[{"given":"Zheng","family":"Zuo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maocheng","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojun","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weijun","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongyan","family":"Zou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiwei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"10","key":"10.1016\/j.compag.2026.112091_b0005","doi-asserted-by":"crossref","first-page":"13807","DOI":"10.1111\/jfpe.13807","article-title":"Nondestructive prediction and visualization of total flavonoids content in cerasus humilis fruit during storage periods based on hyperspectral imaging technique","volume":"44","author":"Bin","year":"2021","journal-title":"J. Food Process Eng."},{"issue":"1","key":"10.1016\/j.compag.2026.112091_b0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.kjs.2024.100295","article-title":"A statistical approach to study anatomical changes of pink guava cultivar (Psidium Guajava L. Cv Arka Kiran) during its ripening at the room temperature storage","volume":"52","author":"Bylappa","year":"2025","journal-title":"Kuwait J. Sci."},{"issue":"1","key":"10.1016\/j.compag.2026.112091_b0015","doi-asserted-by":"crossref","DOI":"10.1080\/19479832.2025.2597554","article-title":"Inversion of garlic (Allium Sativum L) Lai at multiple growth stages based on hyperspectral feature optimization and Ga-Bp model","volume":"16","author":"Chu","year":"2025","journal-title":"Int. J. Image Data Fusion"},{"key":"10.1016\/j.compag.2026.112091_b0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.jfca.2025.108815","article-title":"Hyperspectral imaging combined with chemometric analysis for non-destructive prediction of mutton quality during refrigerated storage","volume":"150","author":"Dong","year":"2026","journal-title":"J. Food Compos. Anal."},{"key":"10.1016\/j.compag.2026.112091_b0025","article-title":"Hyperspectral inversion of leaf nitrogen content in wheat by integrating Cwt-Spa feature optimization and Xgboost-Ssa model","volume":"13","author":"Gu","year":"2026","journal-title":"Smart Agric. Technol."},{"issue":"7","key":"10.1016\/j.compag.2026.112091_b0030","doi-asserted-by":"crossref","DOI":"10.1029\/2024WR038379","article-title":"A novel explainable hybrid model for permeability prediction of tight sandstone using Pi\u2010Deepfm machine learning algorithm","volume":"61","author":"Huo","year":"2025","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.compag.2026.112091_b0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2025.111381","article-title":"Tlm-stack: A deep learning-based novel framework for soil nutrients estimation using hyperspectral data","volume":"243","author":"Jain","year":"2026","journal-title":"Comput. Electron. Agric."},{"issue":"11","key":"10.1016\/j.compag.2026.112091_b0040","article-title":"\u201cHyperspectral image detection of total flavonoids content distribution in different colors of ginkgo biloba leaves.\u201d Transactions of the Chinese society of agricultural","volume":"45","author":"Jiyong","year":"2014","journal-title":"Machinery"},{"issue":"4","key":"10.1016\/j.compag.2026.112091_b0045","first-page":"55","article-title":"Detection of Isoflavones Content in Soybean Based on Hyperspectral Imaging Technology","volume":"169","author":"Kezhu","year":"2014","journal-title":"Sensors & Transducers."},{"issue":"1","key":"10.1016\/j.compag.2026.112091_b0050","doi-asserted-by":"crossref","first-page":"41","DOI":"10.3390\/foods15010041","article-title":"Rapid evaluation of wet gluten content in wheat using hyperspectral technology combined with machine learning algorithms","volume":"15","author":"Lai","year":"2025","journal-title":"Foods."},{"key":"10.1016\/j.compag.2026.112091_b0055","first-page":"1916","article-title":"Sugarcanegan: A U-Rswint and Stylegan3-Driven deep learning framework for high-accuracy sugarcane leaf disease detection and classification","volume":"22","author":"Lavhe","year":"2025","journal-title":"ES Food and Agroforestry."},{"issue":"1","key":"10.1016\/j.compag.2026.112091_b0060","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1007\/s12161-025-02971-z","article-title":"A Lightweight 3dcnn approach for pine nut mold level recognition based on hyperspectral images and embedded feature selection module","volume":"19","author":"Li","year":"2026","journal-title":"Food Anal. Methods"},{"key":"10.1016\/j.compag.2026.112091_b0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.indcrop.2025.122202","article-title":"Enhanced prediction of total flavonoid in chrysanthemum using hyperspectral imaging and Xgboost-Shap powered by Wgan Data augmentation","volume":"237","author":"Li","year":"2025","journal-title":"Industrial Crops & Products."},{"key":"10.1016\/j.compag.2026.112091_b0070","doi-asserted-by":"crossref","DOI":"10.1016\/j.infrared.2025.106321","article-title":"Simultaneous detection of surface defects and prediction of internal Ssc of kumquats based on hyperspectral imaging technology","volume":"153","author":"Li","year":"2026","journal-title":"Infrared Phys. Technol."},{"key":"10.1016\/j.compag.2026.112091_b0075","article-title":"Non-destructive early bruise detection of blueberries based on hyperspectral image feature fusion Pkoa-Svm model","volume":"25","author":"Liu","year":"2026","journal-title":"J. Agric. Food Res."},{"key":"10.1016\/j.compag.2026.112091_b0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.jfca.2024.106378","article-title":"Detection of dried jujube from fresh jujube with different variety and maturity after hot air drying based on hyperspectral imaging technology","volume":"133","author":"Liu","year":"2024","journal-title":"J. Food Compos. Anal."},{"issue":"2","key":"10.1016\/j.compag.2026.112091_b0085","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s00217-025-05024-1","article-title":"Comparative study of digital and hyperspectral imaging for varietal discrimination of dill (Anethum Graveolens L.) Seeds","volume":"252","author":"Lohani","year":"2026","journal-title":"Eur. Food Res. Technol."},{"issue":"3","key":"10.1016\/j.compag.2026.112091_b0090","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1134\/S1062359023604159","article-title":"Protective effect of ginkgobiloba (Ginkgoaceae Family) leaf extracts on female drosophila melanogaster suffering from ultraviolet irradiation through activating the keap1-Nrf2 signaling pathway","volume":"51","author":"Lu","year":"2024","journal-title":"Biol. Bull."},{"issue":"17","key":"10.1016\/j.compag.2026.112091_b0095","doi-asserted-by":"crossref","first-page":"9584","DOI":"10.3390\/ijms25179584","article-title":"Hyperspectral imaging combined with deep transfer learning to evaluate flavonoids content in ginkgo biloba leaves","volume":"25","author":"Lu","year":"2024","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.compag.2026.112091_b0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.chemolab.2025.105575","article-title":"Nondestructive detection of total flavonoids content in daylily using Vis-Nir and Nir hyperspectral imaging: Data fusion combined with shap for model interpretability","volume":"268","author":"Ma","year":"2026","journal-title":"Chemom. Intel. Lab. Syst."},{"issue":"12","key":"10.1016\/j.compag.2026.112091_b0105","article-title":"Studies of the variability of biologically active compounds and antioxidant activity in organically, biodynamically, and naturally grown and fermented fireweed (Chamerion Angustifolium (L.) Holub) leaves","volume":"12","author":"Marius","year":"2023","journal-title":"Plants (Basel, Switzerland)."},{"key":"10.1016\/j.compag.2026.112091_b0110","doi-asserted-by":"crossref","unstructured":"Neto, Antonio de Oliveira Costa, Jeanette Hariharan, Yiannis Ampatzidis, et al. (2026) \u201cEarly Detection of Spider Mite Stress in Hibiscus Using Hyperspectral Imaging and Machine Learning Framework: Toward Application-Oriented Multispectral Solutions.\u201d Computers and Electronics in Agriculture. 243 111369-111369.doi: 10.1016\/j.Compag.2025.111369.","DOI":"10.1016\/j.compag.2025.111369"},{"issue":"9","key":"10.1016\/j.compag.2026.112091_b0115","doi-asserted-by":"crossref","first-page":"625","DOI":"10.2174\/0115672050309057240404075003","article-title":"Comprehensive insights into pathophysiology of Alzheimer's Disease: Herbal approaches for mitigating neurodegeneration","volume":"21","author":"Sen","year":"2025","journal-title":"Curr. Alzheimer Res."},{"key":"10.1016\/j.compag.2026.112091_b0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2024.114342","article-title":"Exploring vegetation chlorophyll fluorescence with leaf dorsiventrality","volume":"313","author":"Shi","year":"2024","journal-title":"Remote Sens. Environ."},{"issue":"5","key":"10.1016\/j.compag.2026.112091_b0125","first-page":"885","article-title":"Synthesis, crystal structure, hirshfeld surface analysis, and fluorescence sensing for Fe3\u207a of a 1-naphthoic acid\/manganese(Ii) complex","volume":"41","author":"Song","year":"2025","journal-title":"Chinese J. Inorg. Chem."},{"issue":"13","key":"10.1016\/j.compag.2026.112091_b0130","doi-asserted-by":"crossref","first-page":"7582","DOI":"10.3390\/app15137582","article-title":"Quantification of flavonoid contents in holy basil using hyperspectral imaging and deep learning approaches","volume":"15","author":"Suratanee","year":"2025","journal-title":"Appl. Sci."},{"key":"10.1016\/j.compag.2026.112091_b0135","doi-asserted-by":"crossref","DOI":"10.1016\/j.optlaseng.2025.109543","article-title":"Multi-scale feature extraction mask gated network for hyperspectral image reconstruction","volume":"199","author":"Xie","year":"2026","journal-title":"Opt. Lasers Eng."},{"key":"10.1016\/j.compag.2026.112091_b0140","doi-asserted-by":"crossref","DOI":"10.3389\/frai.2025.1663292","article-title":"Multi-modal texture fusion network for detecting Ai-generated images","volume":"8","author":"Yu","year":"2025","journal-title":"Front. Artif. Intell."},{"key":"10.1016\/j.compag.2026.112091_b0145","article-title":"Selective voltammetric detection of chlorophylls using a semi-circular potential wave","volume":"323","author":"Yuanzhe","year":"2020","journal-title":"Food Chem."},{"issue":"02","key":"10.1016\/j.compag.2026.112091_b0150","first-page":"44","article-title":"Total flavonoids content of ginkgo biloba leaves in different harvest periods and its antioxidant effect on peanut oil","volume":"29","author":"Zhang","year":"2014","journal-title":"J. Chinese Cereals Oils Assoc."},{"key":"10.1016\/j.compag.2026.112091_b0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.jfca.2025.108809","article-title":"Identification of multiple defects in nanfeng mandarin based on fusion of spectral data and texture data","volume":"149","author":"Zhang","year":"2026","journal-title":"J. Food Compos. Anal."},{"key":"10.1016\/j.compag.2026.112091_b0160","series-title":"Theoretical study on hydrogen bond dynamics and luminescence properties of Esipt molecules containing Sulfur-hydrogen bonds","author":"Zhang","year":"2024"},{"key":"10.1016\/j.compag.2026.112091_b0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.109824","article-title":"Potato disease detection and prevention using multimodal Ai and large language model","volume":"229","author":"Zhu","year":"2025","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.112091_b0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2025.119865","article-title":"Estimation model of chlorophyll content in ginkgo biloba leaves based on Uav hyperspectral canopy image","volume":"260","author":"Zuo","year":"2026","journal-title":"Measurement"}],"container-title":["Computers and Electronics in Agriculture"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926006861?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926006861?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T19:49:43Z","timestamp":1783972183000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168169926006861"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":34,"alternative-id":["S0168169926006861"],"URL":"https:\/\/doi.org\/10.1016\/j.compag.2026.112091","relation":{},"ISSN":["0168-1699"],"issn-type":[{"value":"0168-1699","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Estimation model of total flavonoids content in Ginkgo biloba leaves based on airborne hyperspectral canopy image","name":"articletitle","label":"Article Title"},{"value":"Computers and Electronics in Agriculture","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compag.2026.112091","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":"112091"}}