{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:21:43Z","timestamp":1753885303016,"version":"3.41.2"},"reference-count":31,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T00:00:00Z","timestamp":1630627200000},"content-version":"vor","delay-in-days":245,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61601471"],"award-info":[{"award-number":["61601471"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>In the farmland Internet of Things, to achieve precise control of production, it is necessary to obtain more data support, which requires the deployment of many sensors, and this will inevitably bring about high investment and high\u2010cost problems. This paper mainly studies the optimization of sensor placement in the agricultural field. Through compressed sensing and algorithm optimization, the number of sensors used is reduced and the cost is reduced on the premise of ensuring the effect. At present, there are many mature sensor layout optimization methods, but these methods will have incomplete parameters due to experimental conditions and environmental factors. They are more suitable for structural health monitoring and lack research in agricultural applications. Considering that the sensor layout optimization can be converted into the characteristics of image compression selection and the compression effect of the compressed sensing theory is better, therefore, this paper proposes a sensor layout optimization method based on compressed sensing. Due to the structural characteristics of the existing measurement matrix in the compressed sensing theory, the specific position distribution of the optimized sensor layout cannot be obtained directly. This paper improves the existing sparse random measurement matrix to determine the number of sensors required for a given region and the function of the specific location of each sensor. The experimental results show that soil moisture can be measured with a small error of 0.91 by using 1\/3 of the original sensor number. The result of data reconstruction using 1\/6 of the original sensor is average, and the average error is up to 1.68, which is suitable for the environment with small data fluctuation.<\/jats:p>","DOI":"10.1155\/2021\/9901990","type":"journal-article","created":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T19:05:58Z","timestamp":1630695958000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Optimization Method for the Layout of Soil Humidity Sensors Based on Compressed Sensing"],"prefix":"10.1155","volume":"2021","author":[{"given":"Yunsong","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueyun","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6535-0584","authenticated-orcid":false,"given":"Xiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,9,3]]},"reference":[{"key":"e_1_2_11_1_2","first-page":"113","article-title":"Farmer cognition on water-saving irrigation technology and its influencing factors analysis","volume":"28","author":"Huang Y.","year":"2012","journal-title":"Transactions of the Chinese Society of Agricultural Engineering"},{"key":"e_1_2_11_2_2","first-page":"104","article-title":"Design and research of water saving irrigation system based on LoRa","volume":"12","author":"Jiulin W.","year":"2017","journal-title":"Water Saving Irrigation"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2004.02.016"},{"key":"e_1_2_11_4_2","first-page":"87","article-title":"The influence of the depth and amount of soil moisture sensors on the accuracy of soil moisture content","volume":"1","author":"Wang Y.","year":"2019","journal-title":"Water Saving Irrigation"},{"key":"e_1_2_11_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.862083"},{"key":"e_1_2_11_6_2","article-title":"Preliminary study on the application of Internet of Things technique in farmland quality protection and management","author":"Zhou Y.","year":"2016","journal-title":"Agriculture Network Information"},{"key":"e_1_2_11_7_2","unstructured":"FengZ. 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