{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:58:04Z","timestamp":1759334284041,"version":"build-2065373602"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3609817","type":"journal-article","created":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T17:38:38Z","timestamp":1757957918000},"page":"162623-162638","source":"Crossref","is-referenced-by-count":0,"title":["A Price Risk Early Warning Model for Agricultural Products Based on the Integration of Deep Learning and Knowledge Graphs"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-3087-8794","authenticated-orcid":false,"given":"Da","family":"Pan","sequence":"first","affiliation":[{"name":"Jilin Business and Technology College, Changchun, Jilin, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"article-title":"Conformal PID control for time series prediction","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Angelopoulos","key":"ref2"},{"article-title":"Non-autoregressive conditional diffusion models for time series prediction","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Shen","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3276628"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3291371"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110489"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/land12101859"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614851"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-07143-2"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3137178"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3085085"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-05958-z"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512056"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2021.03.088"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109945"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2022.07.139"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/int.22370"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.3005293"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2863020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3121312"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs13234822"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.12.030"},{"article-title":"TimeMixer: Decomposable multiscale mixing for time series forecasting","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Wang","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/rs13163328"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.122964"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.3012393"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3531326"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9903518"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.01.003"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-020-03214-y"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3358452"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3533271.3561738"},{"key":"ref33","article-title":"A framework for crop price forecasting in emerging economies by analyzing the quality of time-series data","author":"Jain","year":"2020","journal-title":"arXiv:2009.04171"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1111\/bjet.12341"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/Agro-Geoinformatics262780.2024.10660811"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2024.170481"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2024.107274"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2024.123302"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.123253"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2023.3342978"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s11540-024-09789-y"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-023-00721-z"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11164274.pdf?arnumber=11164274","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T13:27:16Z","timestamp":1759238836000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11164274\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3609817","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}