{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T06:42:31Z","timestamp":1774766551483,"version":"3.50.1"},"reference-count":20,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T00:00:00Z","timestamp":1762732800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003359","name":"Generalitat Valenciana","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003359","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011033","name":"Agencia Estatal de Investigaci\u00f3n","doi-asserted-by":"publisher","award":["131040B-C33"],"award-info":[{"award-number":["131040B-C33"]}],"id":[{"id":"10.13039\/501100011033","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011033","name":"Agencia Estatal de Investigaci\u00f3n","doi-asserted-by":"publisher","award":["TED2021\\u2013131040B-C33"],"award-info":[{"award-number":["TED2021\\u2013131040B-C33"]}],"id":[{"id":"10.13039\/501100011033","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014440","name":"Gobierno de Espa\u00f1a Ministerio de Ciencia, Innovaci\u00f3n y Universidades","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014440","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011596","name":"Generalitat Valenciana Conselleria d&apos;Educaci\u00f3 Cultura i Esport","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011596","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Data in Brief"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1016\/j.dib.2025.112276","type":"journal-article","created":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T11:59:27Z","timestamp":1763639967000},"page":"112276","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Dataset for weed detection in fruit orchards"],"prefix":"10.1016","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-0347-7996","authenticated-orcid":false,"given":"Andoni","family":"Salcedo-Navarro","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2530-4008","authenticated-orcid":false,"given":"Guillem","family":"Montalban-Faet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2590-6370","authenticated-orcid":false,"given":"Miguel","family":"Garcia-Pineda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9138-5465","authenticated-orcid":false,"given":"Jaume","family":"Segura-Garcia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.dib.2025.112276_bib0001","doi-asserted-by":"crossref","first-page":"81","DOI":"10.3390\/drones8030081","article-title":"Exploring the potential of remote sensing to facilitate integrated weed management in smallholder farms: a scoping review","volume":"8","author":"Mabhaudhi","year":"2024","journal-title":"Drones"},{"key":"10.1016\/j.dib.2025.112276_bib0002","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2020.105457","article-title":"Agroview: cloud-based application to process, analyze and visualize uav-collected data for precision agriculture applications utilizing artificial intelligence","author":"Ampatzidis","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.dib.2025.112276_bib0003","doi-asserted-by":"crossref","DOI":"10.1186\/s40538-021-00217-8","article-title":"Drone and sensor technology for sustainable weed management: a review","author":"Esposito","year":"2021","journal-title":"Chemic. Biologic. Technol. Agric."},{"key":"10.1016\/j.dib.2025.112276_bib0004","doi-asserted-by":"crossref","DOI":"10.3390\/agriculture8050065","article-title":"Multi-temporal site-specific weed control of cirsium arvense and rumex crispus in maize and sugar beet using unmanned aerial vehicle based mapping","author":"Mink","year":"2018","journal-title":"Agriculture"},{"key":"10.1016\/j.dib.2025.112276_bib0005","doi-asserted-by":"crossref","DOI":"10.3390\/agriengineering2030032","article-title":"A deep learning approach for weed detection in lettuce crops using multispectral images","author":"Osorio","year":"2020","journal-title":"AgriEngineering."},{"key":"10.1016\/j.dib.2025.112276_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.rsase.2025.101553","article-title":"Weeds detection in a citrus orchard using multispectral uav data and machine learning algorithms: a case study from souss-massa basin, morocco","author":"El Hafyani","year":"2025","journal-title":"Remote Sensing Applicat."},{"key":"10.1016\/j.dib.2025.112276_bib0007","doi-asserted-by":"crossref","DOI":"10.3390\/s20092530","article-title":"Uav and machine learning based refinement of a satellite-driven vegetation index for precision agriculture","author":"Mazzia","year":"2020","journal-title":"Sensors"},{"key":"10.1016\/j.dib.2025.112276_bib0008","doi-asserted-by":"crossref","DOI":"10.3390\/s24051544","article-title":"Weed detection from unmanned aerial vehicle imagery using deep learning \u2013 a comparison between high-end and low-cost multispectral sensors","author":"Seiche","year":"2024","journal-title":"Sensors"},{"key":"10.1016\/j.dib.2025.112276_bib0009","article-title":"A field weed density evaluation method based on uav imaging and modified u-net","author":"Zou","year":"2021","journal-title":"Remote Sens (Basel)."},{"key":"10.1016\/j.dib.2025.112276_bib0010","article-title":"Accurate weed mapping and prescription map generation based on fully convolutional networks using uav imagery","author":"Huang","year":"2018","journal-title":"Sensors"},{"key":"10.1016\/j.dib.2025.112276_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2022.107412","article-title":"Weed detection in sesame fields using a yolo model with an enhanced attention mechanism and feature fusion","author":"Chen","year":"2022","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.dib.2025.112276_bib0012","article-title":"A lightweight weed detection model for cotton fields based on an improved yolov8n","author":"Wang","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.dib.2025.112276_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.108792","article-title":"Weedvision: a single-stage deep learning architecture to perform weed detection and segmentation using drone-acquired images","author":"Rai","year":"2024","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.dib.2025.112276_bib0014","doi-asserted-by":"crossref","DOI":"10.3390\/s24030893","article-title":"Intrarow uncut weed detection using you-only-look-once instance segmentation for orchard plantations","author":"Sampurno","year":"2024","journal-title":"Sensors"},{"key":"10.1016\/j.dib.2025.112276_bib0015","article-title":"Unmanned aerial vehicle-scale weed segmentation method based on image analysis technology for enhanced accuracy of maize seedling counting","author":"Yang","year":"2024","journal-title":"Agriculture"},{"key":"10.1016\/j.dib.2025.112276_bib0016","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2023.107698","article-title":"Applications of deep learning in precision weed management: a review","author":"Rai","year":"2023","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.dib.2025.112276_bib0017","article-title":"Drone imagery dataset for early-season weed classification in maize and tomato crops","author":"Mes\u00edas-Ruiz","year":"2024","journal-title":"Data Brief."},{"key":"10.1016\/j.dib.2025.112276_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.dib.2023.109691","article-title":"Multi-format open-source weed image dataset for real-time weed identification in precision agriculture","author":"Rai","year":"2023","journal-title":"Data Brief."},{"key":"10.1016\/j.dib.2025.112276_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.dib.2022.108575","article-title":"Cofly-weeddb: a UAV image dataset for weed detection and species identification","author":"Krestenitis","year":"2022","journal-title":"Data Brief."},{"key":"10.1016\/j.dib.2025.112276_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.dib.2025.111486","article-title":"Weed-crop dataset in precision agriculture: resource for ai-based robotic weed control systems","author":"Upadhyay","year":"2025","journal-title":"Data Brief."}],"container-title":["Data in Brief"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352340925009977?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352340925009977?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T10:26:45Z","timestamp":1773829605000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2352340925009977"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":20,"alternative-id":["S2352340925009977"],"URL":"https:\/\/doi.org\/10.1016\/j.dib.2025.112276","relation":{"is-supplemented-by":[{"id-type":"uri","id":"https:\/\/zenodo.org\/records\/17214769","asserted-by":"subject"},{"id-type":"uri","id":"https:\/\/zenodo.org\/records\/15826915","asserted-by":"subject"}]},"ISSN":["2352-3409"],"issn-type":[{"value":"2352-3409","type":"print"}],"subject":[],"published":{"date-parts":[[2025,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Dataset for weed detection in fruit orchards","name":"articletitle","label":"Article Title"},{"value":"Data in Brief","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.dib.2025.112276","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Author(s). Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"112276"}}