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利用热成像技术评估缺水环境下水稻植株的水分状况。

Assessing water status in rice plants in water-deficient environments using thermal imaging.

作者信息

Yang Chin-Ying, Zhang Yan-Ci, Hou Ya-Ling

机构信息

Department of Agronomy, National Chung Hsing University, Taichung, 402, Taiwan.

Smart Sustainable New Agriculture Research Center (SMARTer), National Chung Hsing University, Taichung, 402, Taiwan.

出版信息

Bot Stud. 2025 Jan 26;66(1):6. doi: 10.1186/s40529-025-00452-4.

Abstract

BACKGROUND

Rice is a staple food for the global population. However, extreme weather events threaten the stability of the water supply for agriculture, posing a critical challenge to the stability of the food supply. The use of technology to assess the water status of rice plants enables the precise management of agricultural water resources.

RESULTS

The results of this study reveal that rice-producing regions with more severe drought have higher ion leakage rates, lower Soil Plant Analysis Development (SPAD) meter values, and reduced total chlorophyll content in plants. Although no significant differences were observed in red-green-blue (RGB) images, physiological parameters and canopy temperature differed significantly from conventional farming when infrared thermography was used to capture rice plants in the early stages of drought. The Crop Water Stress Index (CWSI), calculated from canopy temperature and atmospheric temperature, indicated a high correlation between access to water for rice plants and their physiological parameters. Regression analysis using CWSI and plant water status yielded a corrected coefficient of determination of 0.86.

CONCLUSION

Our study demonstrate that infrared thermography can effectively detect early signs of water stress in rice, aiding farmers in irrigation planning and enabling precise management and optimal utilization of water resources.

摘要

背景

水稻是全球人口的主食。然而,极端天气事件威胁着农业供水的稳定性,对粮食供应的稳定性构成了严峻挑战。利用技术评估水稻植株的水分状况能够实现农业水资源的精准管理。

结果

本研究结果表明,干旱更严重的水稻种植区具有更高的离子渗漏率、更低的土壤植株分析发育(SPAD)仪值以及植株总叶绿素含量降低。虽然在红-绿-蓝(RGB)图像中未观察到显著差异,但在干旱早期使用红外热成像技术拍摄水稻植株时,生理参数和冠层温度与传统种植方式存在显著差异。根据冠层温度和大气温度计算得出的作物水分胁迫指数(CWSI)表明,水稻植株的水分供应与其生理参数之间存在高度相关性。使用CWSI和植株水分状况进行回归分析,得到的校正决定系数为0.86。

结论

我们的研究表明,红外热成像技术能够有效检测水稻水分胁迫的早期迹象,帮助农民进行灌溉规划,并实现水资源的精准管理和优化利用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df1/11769923/c11852cf5dbe/40529_2025_452_Fig1_HTML.jpg

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