Forecasting of leaf blast using the dielectric leaf wetness sensor

Naoto Sugawara, Takashi Kobayashi, S. Hase
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Abstract

In this study, in order to predict leaf blast occurrence using a leaf wetness sensor, we examined the optimal sensor installation angle and location for the measurement of leaf wetness period in rice plant, the relationship between the wetness period and the occurrence of leaf blast severity, and the optimal threshold of the permittivity of a leaf wetness sensor to determine wetness in rice. The wetness period measured at an installation angle of 0 ° was significantly longer than the wetness period measured at 0 ° to 60 ° angles. Therefore, the optimal setting angle of the leaf wetness sensor was 0 ° . There was no significant difference between the wetness period measured in the paddy field and the wet period measured in the plowed field. Therefore, it was considered that it was more practical to install the leaf wetness sensor outside the paddy field in consideration of the labor and maintenance required for the installation. The wetness period measured by the leaf wetting sensor was considered to be applicable to agriculture field sites because the estimation accuracy of the prediction of leaf blast occurrence was high. In rice, the wetting period evaluated at the threshold of 0.300V in permittivity was better than the threshold of 0.284V recommended by METER Group, Inc. to evaluate the occurrence of leaf blast.
利用介电叶片湿度传感器预测叶风
在本研究中,为了利用叶片湿度传感器预测稻瘟病的发生,我们研究了测量水稻叶片湿度周期的最佳传感器安装角度和位置,湿度周期与稻瘟病发生严重程度的关系,以及叶片湿度传感器测量水稻湿度的最佳介电常数阈值。安装角为0°时测得的湿润周期明显长于安装角为0°~ 60°时测得的湿润周期。因此,叶片湿度传感器的最佳设置角度为0°。水田测得的湿润期与耕地测得的湿润期无显著差异。因此,考虑到安装所需的人工和维护,认为将叶片湿度传感器安装在水田外更为实用。叶片湿润传感器测得的湿润期预报精度较高,适用于农业现场。在水稻中,介电常数阈值为0.300V的湿润期优于METER Group, Inc.推荐的0.284V的湿化期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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