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引用本文:秦春雨,周建平,许 燕,等.基于热红外成像的核桃园土壤水分检测方法研究[J].灌溉排水学报,2024,43(6):34-42.
QIN Chunyu,ZHOU Jianping,XU Yan,et al.基于热红外成像的核桃园土壤水分检测方法研究[J].灌溉排水学报,2024,43(6):34-42.
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基于热红外成像的核桃园土壤水分检测方法研究
秦春雨,周建平,许 燕,段春旭,崔 超,张惠琪
1.新疆大学 机械工程学院,乌鲁木齐 830000; 2.新疆维吾尔自治区农牧机器人及智能装备工程研究中心,乌鲁木齐 830000
摘要:
【目的】了解新疆核桃园区的土壤水分状况并科学配置水资源。【方法】以果实发育期核桃树为研究对象,利用热红外相机连续观测2023年7—8月核桃冠层温度热红外图像,提出一种基于HSV颜色空间的改进K-means分割算法,并进一步分析冠层温度日变化特征。同步观测空气温度、空气湿度、光照度、风速、二氧化碳摩尔分数和0~80 cm土层土壤含水率,反演构建土壤含水率预测模型,并进行验证。【结果】改进的K-means算法分割准确率由82.34%提升至94.55%,获取的冠层温度与实际冠层温度值误差为[0,1];核桃树冠层温度呈单峰变化趋势,其中14:00—16:00为冠层温度的最佳观测时间;水平方向50~60 cm、垂直方向40~60 cm土层为核桃树主要的吸水区间;冠层温度、空气温度、空气相对湿度、二氧化碳摩尔分数与土壤含水率具有显著的相关性,将其作为输入变量建立土壤水分预测模型,回归方程判定系数R2=0.86,p<0.01,表明该模型具有一定的拟合精度。【结论】将该土壤水分预测模型用于核桃区域水分状况诊断具有较好的实际应用效果,能够为新疆地区核桃园提供新的检测土壤水分方式。
关键词:  水分;核桃;冠层温度;算法;土壤;模型
DOI:10.13522/j.cnki.ggps.2024024
分类号:
基金项目:
Using thermal infrared imaging to estimate soil moisture dynamics
QIN Chunyu, ZHOU Jianping, XU Yan, DUAN Chunxu, CUI Chao, ZHANG Huiqi
1. College of Mechanical Engineering, Xinjiang University, Urumqi 830000, China; 2. Agriculture and Animal Husbandry Robot and Intelligent Equipment Engineering Research Center of Xinjiang Uygur Autonomous Region, Urumqi 830000, China
Abstract:
【Objective】Change in soil water content is not only an indicator of water stresses used for irrigation management but also controls biogeochemical processes in soil. In this paper, we study the feasibility of using thermal infrared imaging to estimate soil moisture dynamics. 【Method】The experiment was conducted in July-August 2023 in a walnut orchard in Xinjiang. Thermal infrared images of the walnut canopy were measured continuously using a thermal infrared camera. Based on the HSV color space of the images, an improved K-means segmentation algorithm was proposed to analyze the change in canopy temperature. We also measured air temperature and humidity, illuminance, wind speed, atmospheric CO2, and soil water content in the 0-80 cm soil layer, from which we proposed an inversion model to estimate soil water dynamics. 【Result】The improved K-means algorithm increased the accuracy from 82.34% to 94.55%, and the errors between the canopy temperature acquired from the images and the measured canopy temperature were in the range of 0 to 1.0. The infrared imaging method was most accurate between14:00 pm to 16:00 pm. Our results showed that the walnut roots were most active in taking up water from the 40-60 cm soil layer 50-60 cm away horizons from the tree truck. Canopy temperature, air temperature and relative humidity, and atmospheric CO2 concentration were correlated with soil water content at significant levels; they can thus be used to estimate soil water dynamics, with a coefficient of determination of R2=0.86 and p<0.01. 【Conclusion】The temperature acquired from the infrared images of the walnut canopy can be used with other metrological data and atmospheric CO2 concentration to estimate soil water dynamics in the root zone of the walnut. It provides a new method for improving soil water management in walnut orchards in Xinjiang.
Key words:  moisture; walnut; canopy temperature; algorithm; soil; model