{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T04:35:01Z","timestamp":1783571701417,"version":"3.55.0"},"reference-count":27,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2021,12,23]],"date-time":"2021-12-23T00:00:00Z","timestamp":1640217600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31971797"],"award-info":[{"award-number":["31971797"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"China Agriculture Research System of MOF and MARA","award":["CARS-26"],"award-info":[{"award-number":["CARS-26"]}]},{"name":"Project of Guangdong Provincial Department of Science and Technology","award":["2021A1515010923"],"award-info":[{"award-number":["2021A1515010923"]}]},{"name":"Special Funds for the Cultivation of Guangdong College Students' Scientific and Technological Innovation.(\u201cClimbing Program\u201d Special Funds.)","award":["pdjh2020a0083"],"award-info":[{"award-number":["pdjh2020a0083"]}]},{"name":"Guangdong Provincial Strategy for Rural Revitalization","award":["Yue Cai Nong [2021] No. 37"],"award-info":[{"award-number":["Yue Cai Nong [2021] No. 37"]}]},{"name":"Subtopics of National Key R&amp;D Program Projects","award":["2020YFD1000107"],"award-info":[{"award-number":["2020YFD1000107"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Citrus fruit detection can provide technical support for fine management and yield determination of citrus orchards. Accurate detection of citrus fruits in mountain orchards is challenging because of leaf occlusion and citrus fruit mutual occlusion of different fruits. This paper presents a citrus detection task that combines UAV data collection, AI embedded device, and target detection algorithm. The system used a small unmanned aerial vehicle equipped with a camera to take full-scale pictures of citrus trees; at the same time, we extended the state-of-the-art model target detection algorithm, added the attention mechanism and adaptive fusion feature method, improved the model\u2019s performance; to facilitate the deployment of the model, we used the pruning method to reduce the amount of model calculation and parameters. The improved target detection algorithm is ported to the edge computing end to detect the data collected by the unmanned aerial vehicle. The experiment was performed on the self-made citrus dataset, the detection accuracy was 93.32%, and the processing speed at the edge computing device was 180 ms\/frame. This method is suitable for citrus detection tasks in the mountainous orchard environment, and it can help fruit growers to estimate their yield.<\/jats:p>","DOI":"10.3390\/s22010059","type":"journal-article","created":{"date-parts":[[2021,12,23]],"date-time":"2021-12-23T02:02:57Z","timestamp":1640224977000},"page":"59","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Design of Citrus Fruit Detection System Based on Mobile Platform and Edge Computer Device"],"prefix":"10.3390","volume":"22","author":[{"given":"Heqing","family":"Huang","sequence":"first","affiliation":[{"name":"College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China"},{"name":"National Research Laboratory of Mechanization of Citrus Industry Technical System, Guangzhou 510642, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tongbin","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China"},{"name":"National Research Laboratory of Mechanization of Citrus Industry Technical System, Guangzhou 510642, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Li","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China"},{"name":"National Research Laboratory of Mechanization of Citrus Industry Technical System, Guangzhou 510642, China"},{"name":"Guangdong Agricultural Information Monitoring Engineering and Technology Research Center, Guangzhou 510642, China"},{"name":"Pazhou Lab, Guangzhou 510330, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shilei","family":"Lyu","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China"},{"name":"National Research Laboratory of Mechanization of Citrus Industry Technical System, Guangzhou 510642, China"},{"name":"Pazhou Lab, Guangzhou 510330, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9607-4260","authenticated-orcid":false,"given":"Tao","family":"Hong","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, Beijing 100190, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Xing, S., and Lee, M. 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