{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T10:16:33Z","timestamp":1778753793973,"version":"3.51.4"},"reference-count":23,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Technical innovation and application development project of Chongqing Science and Technology Commission","award":["cstc2019jscx-msxm1279"],"award-info":[{"award-number":["cstc2019jscx-msxm1279"]}]},{"name":"Youth program of science and technology research program of Chongqing Education Commission","award":["KJQN201803107"],"award-info":[{"award-number":["KJQN201803107"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2020,5]]},"abstract":"<jats:p>With the wide application of Internet of things technology and era of large data in agriculture, smart agricultural design based on Internet of things technology can efficiently realize the function of real-time data communication and information processing and improve the development of smart agriculture. In the process of analyzing and processing a large amount of planting and environmental data, how to extract effective information from these massive agricultural data, that is, how to analyze and mine the needs of these large amounts of data, is a pressing problem to be solved. According to the needs of agricultural owners, this article studies and optimizes the data storage, data processing, and data mining of large data generated in the agricultural production process, and it uses the k-means algorithm based on the maximum distance to study the data mining. The crop growth curve is simulated and compared with improved K-means algorithm and the original k-means algorithm in the experimental analysis. The experimental results show that the improved K-means clustering method has an average reduction of 0.23\u2009s in total time and an average increase of 7.67% in the F metric value. The algorithm in this article can realize the functions of real-time data communication and information processing more efficiently, and has a significant role in promoting agricultural informatization and improving the level of agricultural modernization.<\/jats:p>","DOI":"10.1177\/1550147720917065","type":"journal-article","created":{"date-parts":[[2020,5,13]],"date-time":"2020-05-13T09:32:36Z","timestamp":1589362356000},"page":"155014772091706","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":64,"title":["Design of smart agriculture based on big data and Internet of things"],"prefix":"10.1177","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4612-428X","authenticated-orcid":false,"given":"Chunling","family":"Li","sequence":"first","affiliation":[{"name":"School of Electronics and Internet of Things, Chongqing College of Electronic Engineering, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ben","family":"Niu","sequence":"additional","affiliation":[{"name":"Chongqing Research Institute, ZTE Corporation, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,5,13]]},"reference":[{"issue":"3","key":"bibr1-1550147720917065","first-page":"5681","volume":"10","author":"Kumar GB","year":"2015","journal-title":"Int J Appl Eng Res"},{"key":"bibr2-1550147720917065","doi-asserted-by":"publisher","DOI":"10.1016\/j.agsy.2017.01.023"},{"issue":"34","key":"bibr3-1550147720917065","first-page":"235","volume":"44","author":"Chunqiao M","year":"2016","journal-title":"J Anhui Agric Sci"},{"key":"bibr4-1550147720917065","first-page":"137","volume-title":"Computer and computing technologies in agriculture VIII","author":"Zhang H","year":"2014"},{"key":"bibr5-1550147720917065","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2017.09.037"},{"issue":"3","key":"bibr6-1550147720917065","first-page":"1","volume":"34","author":"Guo P","year":"2013","journal-title":"Software"},{"issue":"3","key":"bibr7-1550147720917065","doi-asserted-by":"crossref","first-page":"73","DOI":"10.13189\/wjcat.2014.020303","volume":"2","author":"Waga D","year":"2014","journal-title":"World J Comput Appl Technol"},{"key":"bibr8-1550147720917065","doi-asserted-by":"publisher","DOI":"10.1111\/soru.12120"},{"key":"bibr9-1550147720917065","first-page":"387","volume":"41","author":"Zhang HR","year":"2014","journal-title":"Comput Sci"},{"key":"bibr10-1550147720917065","doi-asserted-by":"publisher","DOI":"10.3390\/s16071141"},{"issue":"21","key":"bibr11-1550147720917065","first-page":"1","volume":"32","author":"Tian H","year":"2016","journal-title":"Trans Chin Soc Agric Eng"},{"key":"bibr12-1550147720917065","doi-asserted-by":"publisher","DOI":"10.1016\/j.csi.2011.03.004"},{"issue":"6","key":"bibr13-1550147720917065","first-page":"63","volume":"15","author":"Sun ZF","year":"2013","journal-title":"J Agric Sci Technol"},{"key":"bibr14-1550147720917065","first-page":"173","volume":"19","author":"Protopop I","year":"2016","journal-title":"Int Food Agribus Manag Rev"},{"key":"bibr15-1550147720917065","doi-asserted-by":"publisher","DOI":"10.14257\/ijsh.2016.10.4.26"},{"issue":"11","key":"bibr16-1550147720917065","first-page":"1313","volume":"17","author":"Lee J","year":"2014","journal-title":"J Phys IV"},{"key":"bibr17-1550147720917065","doi-asserted-by":"publisher","DOI":"10.3233\/AIS-170440"},{"issue":"6","key":"bibr18-1550147720917065","first-page":"838","volume":"5","author":"Gondchawar N","year":"2016","journal-title":"Int J Adv Res Comput Commun Eng"},{"issue":"2","key":"bibr19-1550147720917065","first-page":"210","volume":"8","author":"Fan TK","year":"2013","journal-title":"J Converg Inf Technol"},{"key":"bibr20-1550147720917065","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.10.072"},{"key":"bibr21-1550147720917065","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2017.09.007"},{"key":"bibr22-1550147720917065","doi-asserted-by":"publisher","DOI":"10.1111\/pce.12485"},{"issue":"1","key":"bibr23-1550147720917065","volume":"7","author":"Ravi S","year":"2016","journal-title":"Int J Adv Res Comput Sci"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147720917065","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1550147720917065","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147720917065","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,23]],"date-time":"2022-10-23T16:43:48Z","timestamp":1666543428000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1177\/1550147720917065"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":23,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["10.1177\/1550147720917065"],"URL":"https:\/\/doi.org\/10.1177\/1550147720917065","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"value":"1550-1477","type":"print"},{"value":"1550-1477","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5]]}}}