{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T00:10:13Z","timestamp":1771891813099,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683560","type":"print"},{"value":"9781643683577","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T00:00:00Z","timestamp":1669248000000},"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":[[2022,11,24]]},"abstract":"<jats:p>Frost causes damage to crops. Predicting the frost occurrence in advance is highly valuable for practitioners taking possible frost-prevention measures. In our previous study, we have applied machine learning to forecast frost occurrence using two methods. To better support user with a potential trend of frost occurrence in a future period, we propose an integrated system of frost forecast taking the advantages of the two methods.<\/jats:p>","DOI":"10.3233\/faia220433","type":"book-chapter","created":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T09:27:16Z","timestamp":1669368436000},"source":"Crossref","is-referenced-by-count":1,"title":["Frost Forecasting System with Multiple Models of Machine Learning"],"prefix":"10.3233","author":[{"given":"Shugo","family":"Yoshida","sequence":"first","affiliation":[{"name":"School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, 214-8571, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liya","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, 214-8571, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kosuke","family":"Noborio","sequence":"additional","affiliation":[{"name":"School of Agriculture, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, 214-8571, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuki","family":"Shibuya","sequence":"additional","affiliation":[{"name":"School of Agriculture, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, 214-8571, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Machine Learning and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220433","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T09:27:17Z","timestamp":1669368437000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220433"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,24]]},"ISBN":["9781643683560","9781643683577"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220433","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,24]]}}}