{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T19:39:26Z","timestamp":1772912366007,"version":"3.50.1"},"reference-count":20,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,12]]},"abstract":"Abstract<\/jats:title>\n With the continuous improvement of China\u2019s current technology level, the Internet of Things (IoT) technology is also increasingly widely used in various fields. IoT is a network composed of electronic components, software, sensors, etc. With the development of IoT technology, users\u2019 demand for remote control equipment is increasingly urgent. In this article, the genetic algorithm\u2013backpropagation neural network (GA\u2013BPNN) algorithm was deeply studied by combining genetic algorithm (GA) and backpropagation neural network (BPNN) algorithm, and its application in network security evaluation was discussed. This article mainly studied the security and remote control technology of computer network and applied it to intelligent agriculture. In the evaluation performance test of the GA\u2013BPNN algorithm, the evaluation accuracy of GA, BPNN, and GA\u2013BPNN under simple difficulty was 99.58, 99.15, and 99.92%, respectively, and the evaluation accuracy under difficulty was 96.72, 96.47, and 98.88%, respectively. This proved the effectiveness of the GA\u2013BPNN algorithm. In addition, in the application of smart agriculture, through the experimental data and concentration change data, it can be seen that the use of air-driven \n \n \n \n \n \n CO<\/m:mtext>\n <\/m:mrow>\n \n 2<\/m:mn>\n <\/m:mrow>\n <\/m:msub>\n <\/m:math>\n {\\text{CO}}_{2}<\/jats:tex-math>\n <\/jats:alternatives>\n <\/jats:inline-formula> (carbon dioxide) for concentration replenishment can effectively adjust the requirements of crops on the concentration of \n \n \n \n \n \n CO<\/m:mtext>\n <\/m:mrow>\n \n 2<\/m:mn>\n <\/m:mrow>\n <\/m:msub>\n <\/m:math>\n {\\text{CO}}_{2}<\/jats:tex-math>\n <\/jats:alternatives>\n <\/jats:inline-formula>. Through the analysis of the system\u2019s light compensation system, it was proved that the system has a good structure and remarkable light compensation effect; it can replenish light for crops in time, and the PLC control structure has good working performance. The correctness of the system design was proved.<\/jats:p>","DOI":"10.1515\/comp-2024-0004","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T14:41:09Z","timestamp":1720795269000},"source":"Crossref","is-referenced-by-count":2,"title":["Evaluation of Internet of Things computer network security and remote control technology"],"prefix":"10.1515","volume":"14","author":[{"given":"Haifeng","family":"Lu","sequence":"first","affiliation":[{"name":"College of Information Engineering, Hainan Vocational University of Science and Technology , Haikou , 571126, Hainan , China"}]},{"given":"Haiwei","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Hainan Vocational University of Science and Technology , Haikou , 571126, Hainan , China"}]},{"given":"Ru","family":"Jing","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Hainan Vocational University of Science and Technology , Haikou , 571126, Hainan , China"}]}],"member":"374","published-online":{"date-parts":[[2024,7,12]]},"reference":[{"key":"2024071214404499280_j_comp-2024-0004_ref_001","doi-asserted-by":"crossref","unstructured":"M. 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