STUDY ON WATER CONTENT COMPENSATION METHOD AND EXPERIEMNTAL FOR SOIL PH DETECTION SENSOR

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Shengkang Zong, Xiliang Zhang, Cheng Chen, Chengxuan Lu, Mengyao Ni, Tianyu Mao, Xiaoqing Su

Abstract

Evidence suggests that soil pH is among the most important factors for soil fertility and nutrients. Precise regulation and detection of soil pH during crop growth is an urgent need for modern digital agriculture. This paper focuses on the online detection of soil pH is greatly affected by soil moisture, resulting in poor online detection accuracy. Based on the modified membrane all-solid antimony electrode pH sensor, design the water content compensation model by the binary regression analysis method, and experimentally study the influence of soil moisture on the online pH value detection. The research results show that the maximum absolute error of online soil pH detection before compensation reaches 1.88, and the minimum threshold of water content for online detection is 7%. After compensation for water content, the absolute error of online soil pH detection does not exceed 0.36, and the relative error does not exceed 4.3%. The water content coefficient sensitivity of online detection is reduced from 0.27 to 0.097, and the stability and accuracy of online detection are significantly improved

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