{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T09:51:18Z","timestamp":1721814678107},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684048","type":"print"},{"value":"9781643684055","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T00:00:00Z","timestamp":1687392000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,22]]},"abstract":"<jats:p>This paper describes the early phase of a framework being developed to identify infestation levels of pests and parasites of the Western Honey Bee. Image processing techniques and two classical machine learning algorithms have been used to examine close-up images of the material falling on a varroa board beneath the mesh floor of a bee hive and identify Varroa Destructor mites versus other debris to a high level of accuracy.<\/jats:p>","DOI":"10.3233\/aise230023","type":"book-chapter","created":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T11:55:23Z","timestamp":1687521323000},"source":"Crossref","is-referenced-by-count":1,"title":["Comparison of Machine Learning Techniques to Determine Bee Hive Mite Infestation Level from Mobile Phone Digital Images"],"prefix":"10.3233","author":[{"given":"John","family":"Futcher","sequence":"first","affiliation":[{"name":"School of Computer Science and Mathematics, Kingston University, London, UK, KT1 2EE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Islam","family":"Choudhury","sequence":"additional","affiliation":[{"name":"School of Computer Science and Mathematics, Kingston University, London, UK, KT1 2EE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gordon","family":"Hunter","sequence":"additional","affiliation":[{"name":"School of Computer Science and Mathematics, Kingston University, London, UK, KT1 2EE"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Ambient Intelligence and Smart Environments","Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023)"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/AISE230023","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T23:39:19Z","timestamp":1687563559000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/AISE230023"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,22]]},"ISBN":["9781643684048","9781643684055"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/aise230023","relation":{},"ISSN":["1875-4163","1875-4171"],"issn-type":[{"value":"1875-4163","type":"print"},{"value":"1875-4171","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,22]]}}}