{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T16:43:24Z","timestamp":1768149804114,"version":"3.49.0"},"reference-count":41,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Cuscuta spp. is a weed that infests many crops, causing significant losses. Traditional assessment methods and onsite manual measurements are time consuming and labor intensive. The precise identification of Cuscuta spp. offers a promising solution for implementing sustainable farming systems in order to apply appropriate control tactics. This document comprehensively evaluates a Cuscuta spp. segmentation model based on unmanned aerial vehicle (UAV) images and the U-Net architecture to generate orthomaps with infected areas for better decision making. The experiments were carried out on an arbol pepper (Capsicum annuum Linnaeus) crop with four separate missions for three weeks to identify the evolution of weeds. The study involved the performance of different tests with the input image size, which exceeded 70% of the mean intersection-over-union (MIoU). In addition, the proposal outperformed DeepLabV3+ in terms of prediction time and segmentation rate. On the other hand, the high segmentation rates allowed approximate quantifications of the infestation area ranging from 0.5 to 83 m2. The findings of this study show that the U-Net architecture is robust enough to segment pests and have an overview of the crop.<\/jats:p>","DOI":"10.3390\/rs14174315","type":"journal-article","created":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T00:19:01Z","timestamp":1662077941000},"page":"4315","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Cuscuta spp. Segmentation Based on Unmanned Aerial Vehicles (UAVs) and Orthomasaics Using a U-Net Xception-Style Model"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8039-4529","authenticated-orcid":false,"given":"Lucia","family":"Guti\u00e9rrez-Lazcano","sequence":"first","affiliation":[{"name":"Artificial Intelligence Laboratory, Universidad Polit\u00e9cnica de Tulancingo, Tulancingo 43629, Hidalgo, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6252-3101","authenticated-orcid":false,"given":"C\u00e9sar J.","family":"Camacho-Bello","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Laboratory, Universidad Polit\u00e9cnica de Tulancingo, Tulancingo 43629, Hidalgo, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0653-9459","authenticated-orcid":false,"given":"Eduardo","family":"Cornejo-Velazquez","sequence":"additional","affiliation":[{"name":"Research Center on Technology of Information and Systems, Universidad Aut\u00f3noma del Estado de Hidalgo, Pachuca 42039, Hidalgo, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2459-8783","authenticated-orcid":false,"given":"Jos\u00e9 Humberto","family":"Arroyo-N\u00fa\u00f1ez","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Laboratory, Universidad Polit\u00e9cnica de Tulancingo, Tulancingo 43629, Hidalgo, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5487-9888","authenticated-orcid":false,"given":"Mireya","family":"Clavel-Maqueda","sequence":"additional","affiliation":[{"name":"Research Center on Technology of Information and Systems, Universidad Aut\u00f3noma del Estado de Hidalgo, Pachuca 42039, Hidalgo, Mexico"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1600\/036364413X674887","article-title":"More problems despite bigger flowers: Systematics of Cuscuta tinctoria clade (subgenus Grammica, Convolvulaceae) with description of six new species","volume":"4","author":"Costea","year":"2013","journal-title":"Syst. 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