{"title":"基于热红外技术和热惯性模型的土壤含水量原位检测","authors":"Wenjun Shang, Caixia Wang","doi":"10.1117/12.2639165","DOIUrl":null,"url":null,"abstract":"Our country is a developing country dominated by agriculture, and the trade of agricultural and sideline products accounts for a considerable proportion in China's national economy. Soil moisture content is one of the basic parameters reflecting soil fertility and crop growth in agricultural production activities. The detection of soil moisture content plays an extremely important role in improving soil utilization and increasing crop yield. At the same time, thermal infrared technology has the characteristics of wide acquisition range, high acquisition accuracy, fast information transmission speed and less affected by interference factors. It provides a new method for in-situ detection of soil moisture. In this paper, infrared thermal imaging technology is used to detect the soil in the measured area in situ, which not only avoids the influence of traditional drying method on the sample in the sampling process, but also improves the detection accuracy. The combination of thermal imaging technology and thermal inertia model makes it suitable for the detection of soil moisture content under most environmental conditions, including bare soil, sandy land and low vegetation coverage.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"In situ detection of soil moisture content based on thermal infrared technology and thermal inertia model\",\"authors\":\"Wenjun Shang, Caixia Wang\",\"doi\":\"10.1117/12.2639165\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our country is a developing country dominated by agriculture, and the trade of agricultural and sideline products accounts for a considerable proportion in China's national economy. Soil moisture content is one of the basic parameters reflecting soil fertility and crop growth in agricultural production activities. The detection of soil moisture content plays an extremely important role in improving soil utilization and increasing crop yield. At the same time, thermal infrared technology has the characteristics of wide acquisition range, high acquisition accuracy, fast information transmission speed and less affected by interference factors. It provides a new method for in-situ detection of soil moisture. In this paper, infrared thermal imaging technology is used to detect the soil in the measured area in situ, which not only avoids the influence of traditional drying method on the sample in the sampling process, but also improves the detection accuracy. The combination of thermal imaging technology and thermal inertia model makes it suitable for the detection of soil moisture content under most environmental conditions, including bare soil, sandy land and low vegetation coverage.\",\"PeriodicalId\":336892,\"journal\":{\"name\":\"Neural Networks, Information and Communication Engineering\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neural Networks, Information and Communication Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2639165\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Networks, Information and Communication Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2639165","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In situ detection of soil moisture content based on thermal infrared technology and thermal inertia model
Our country is a developing country dominated by agriculture, and the trade of agricultural and sideline products accounts for a considerable proportion in China's national economy. Soil moisture content is one of the basic parameters reflecting soil fertility and crop growth in agricultural production activities. The detection of soil moisture content plays an extremely important role in improving soil utilization and increasing crop yield. At the same time, thermal infrared technology has the characteristics of wide acquisition range, high acquisition accuracy, fast information transmission speed and less affected by interference factors. It provides a new method for in-situ detection of soil moisture. In this paper, infrared thermal imaging technology is used to detect the soil in the measured area in situ, which not only avoids the influence of traditional drying method on the sample in the sampling process, but also improves the detection accuracy. The combination of thermal imaging technology and thermal inertia model makes it suitable for the detection of soil moisture content under most environmental conditions, including bare soil, sandy land and low vegetation coverage.