基于热红外技术和热惯性模型的土壤含水量原位检测

Wenjun Shang, Caixia Wang
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摘要

我国是一个以农业为主的发展中国家,农副产品贸易在中国国民经济中占有相当大的比重。土壤水分是农业生产活动中反映土壤肥力和作物生长的基本参数之一。土壤水分含量的检测对提高土壤利用率、提高作物产量具有极其重要的作用。同时,热红外技术具有采集范围宽、采集精度高、信息传输速度快、受干扰因素影响小等特点。为土壤水分的原位检测提供了一种新的方法。本文采用红外热成像技术对被测区域的土壤进行原位检测,既避免了传统干燥方法在采样过程中对样品的影响,又提高了检测精度。热成像技术与热惯性模型相结合,适用于大多数环境条件下的土壤含水量检测,包括裸露土壤、沙地和低植被覆盖度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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