{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:36:41Z","timestamp":1760243801904,"version":"build-2065373602"},"reference-count":14,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2011,4,13]],"date-time":"2011-04-13T00:00:00Z","timestamp":1302652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper proposes a non-contact plant growth measurement system using infrared sensors based on the ubiquitous sensor network (USN) technology. The proposed system measures plant growth parameters such as the stem radius of plants using real-time non-contact methods, and generates diameter, cross-sectional area and thickening form of plant stems using this measured data. Non-contact sensors have been used not to cause any damage to plants during measurement of the growth parameters. Once the growth parameters are measured, they are transmitted to a remote server using the sensor network technology and analyzed in the application program server. The analyzed data are then provided for administrators and a group of interested users. The proposed plant growth measurement system has been designed and implemented using fixed-type and rotary-type infrared sensor based measurement methods and devices. Finally, the system performance is compared and verified with the measurement data that have been obtained by practical field experiments.<\/jats:p>","DOI":"10.3390\/s110404312","type":"journal-article","created":{"date-parts":[[2011,4,13]],"date-time":"2011-04-13T09:52:36Z","timestamp":1302688356000},"page":"4312-4334","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Non-Contact Plant Growth Measurement Method and System Based on Ubiquitous Sensor Network Technologies"],"prefix":"10.3390","volume":"11","author":[{"given":"Jinweon","family":"Suk","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Kyung Hee University, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seokhoon","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Kyung Hee University, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6630-1189","authenticated-orcid":false,"given":"Intae","family":"Ryoo","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Kyung Hee University, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2011,4,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1109\/2.237456","article-title":"Hot Topics: Ubiquitous Computing","volume":"26","author":"Weiser","year":"1993","journal-title":"IEEE Comput"},{"key":"ref_2","unstructured":"Nam, SY (2006). 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Forest"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"225","DOI":"10.17660\/ActaHortic.1995.399.26","article-title":"Physyological Diagonosis of Tomato Plants Grown in Hydroponic by Using Image Analysis","volume":"399","author":"Hatou","year":"1995","journal-title":"Acta Horiculturae"},{"key":"ref_9","first-page":"41","article-title":"Business Model for Intelligent Traffic Facility Management Service Based on Ubiquitous Technology","volume":"14","author":"Yu","year":"2009","journal-title":"Kor. J. Kor. Soc. Comput. Inform"},{"key":"ref_10","first-page":"237","article-title":"The Shelter Course Guidance System Using a Sensor Network","volume":"13","author":"Kwon","year":"2008","journal-title":"Kor. J. Kor. Soc. Comput. Inform"},{"key":"ref_11","first-page":"88","article-title":"Sensor Technology for Intelligent Residential Systems","volume":"12","author":"Byun","year":"2002","journal-title":"Mon. Autom. Tech"},{"key":"ref_12","unstructured":"Lee, GG, and Lee, JD (2008). Precision Measurement Engineering, Kijunyeongusa."},{"key":"ref_13","unstructured":"(2005). Device Specification for Analog Output Distance Measuring Sensor, SHARP Corporation. MODEL No.: GP2D120XJ00F."},{"key":"ref_14","first-page":"507","article-title":"Automatic Left Ventricle Segmentation by Edge Classification and Region Growing on Cardiac MRI","volume":"15-B","author":"Lee","year":"2008","journal-title":"Kor J Inform Process Soc"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/11\/4\/4312\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:55:48Z","timestamp":1760219748000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/11\/4\/4312"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,4,13]]},"references-count":14,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2011,4]]}},"alternative-id":["s110404312"],"URL":"https:\/\/doi.org\/10.3390\/s110404312","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2011,4,13]]}}}