首页|深层土壤硝态氮原位实时检测系统设计与开发

深层土壤硝态氮原位实时检测系统设计与开发

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硝酸盐是植物氮素营养的重要来源,低成本、微损的深层土壤硝态氮含量原位检测一直存在瓶颈.基于土壤光谱特性,设计了一款低成本、深层土壤硝态氮原位实时检测系统.该系统基于单光谱波段,可深层植入土壤中进行原位测量,利用钛烧结滤芯采集土壤溶液,通过220 nm波段的紫外光灯作为照射光源,根据吸光度原理和电压电流转换放大电路,检测采集到的土壤溶液中硝态氮的含量,同时采用LoRa无线传输模块将数据自主传输至上位机,无需人工干预,无需对土壤样本进行采集和处理,不仅降低了检测成本,而且降低了人力成本.土壤硝态氮预测模型的预测决定系数R2、相关系数R、均方根误差RMSE分别为0.982 2、0.991 1、0.009 2,满足实际应用测量的准确度.
Design and Development of In-situ Real-time Detection System for Nitrate Nitrogen in Deep Soil
Nitrate is an important source of plant nitrogen nutrition,and low-cost,minimally destructive in situ detection of nitrate-nitrogen content in deep soil has been a bottleneck.This study designed a low-cost,deep soil nitrate nitrogen in situ real-time detec-tion system based on soil spectral characteristics.The system is based on a single spectral band,which can be deeply implanted into the soil for in situ measurement.A titanium sintered cartridge was used to collect the soil solution,and a 220 nm band UV lamp was used as the irradiation light source to detect the nitrate-nitrogen content in the collected soil solution according to the principle of ab-sorbance and the voltage-current conversion and amplification circuit,and the data were also autonomously transmitted to the super-computer using the LoRa wireless transmission module,with no need of human intervention,no need to collect and process the soil samples,which not only greatly reduced the detection cost,but also reduced the labor cost.The prediction coefficient of determina-tion R2,correlation coefficient R,and root mean square error RMSE of the soil nitrate nitrogen prediction model were 0.982 2,0.991 1 and 0.009 2,respectively,which satisfied the accuracy of the measurement for practical applications.

deep soilnitrate nitrogenin-situ measurementultraviolet spectroscopy

赵燕东、常诚至、赵玥、刘卫平

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北京林业大学 工学院,北京 100083

城乡生态环境北京实验室,北京 100083

林草生态碳中和智慧感知研究院,北京 100083

深层土壤 硝态氮 原位测量 紫外光谱法

国家重点研发计划项目

2020YFD1000500

2024

农业技术与装备
山西省农业机械化技术推广总站 山西省农业技术推广站 山西省农业生态环境建设总站

农业技术与装备

影响因子:0.132
ISSN:1673-887X
年,卷(期):2024.(6)