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Design and Implementation of Online Monitoring System for Soil Salinity and Alkalinity in Yangtze River Delta Tideland

Authors :
Yunsheng Wang
Yong Liu
Shipu Xu
Wenwen Hu
Yingjing Wu
Source :
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID).
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

Soil salinity and alkalinity is an important index concerned by planting industry. In order to meet the demand of long-term observation of soil salinity and alkalinity in precision agriculture and eco-environmental protection, and to solve the current pain points of long sampling period and high cost of soil salinity measurement, this paper designs and implements an online monitoring system for soil salinity alkalinity in tideland in the Yangtze River Delta for crop planting and soil remediation. This system uses solar power supply system and maintenance-free digital sensor, which can be arranged in monitoring area for a long time to collect soil temperature, humidity and salinity data. The collected data can be stored in SD card locally and transmitted to cloud server in real time through 4G network. Up to now, the system has been running stably for nearly two years under the condition of unattended and maintenance free. More than 30000 soil salinity data have been collected from 5 monitoring points, which can be used for long-term observation of the interaction between salinity and plant growth, so as to improve the soil and improve the quality of agriculture products.

Details

Database :
OpenAIRE
Journal :
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)
Accession number :
edsair.doi...........ccade2447ffaa01825bb22958f545e93
Full Text :
https://doi.org/10.1109/aiid51893.2021.9456521