Next Article in Journal
Markov Chain Model-Based Optimal Cluster Heads Selection for Wireless Sensor Networks
Previous Article in Journal
Unmanned Aerial Vehicle Systems for Remote Estimation of Flooded Areas Based on Complex Image Processing
Previous Article in Special Issue
Relative Estimation of Water Content for Flat-Type Inductive-Based Oil Palm Fruit Maturity Sensor
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(3), 447; doi:10.3390/s17030447

Monitoring Citrus Soil Moisture and Nutrients Using an IoT Based System

School of Computer and Information Science, Southwest University, Chongqing 400715, China
Dean’s Office, Tianjin Railway Technical and Vocational College, Tianjin 300240, China
Author to whom correspondence should be addressed.
Academic Editor: Simon X Yang
Received: 28 November 2016 / Revised: 17 February 2017 / Accepted: 20 February 2017 / Published: 23 February 2017
(This article belongs to the Special Issue Sensors for Agriculture)
View Full-Text   |   Download PDF [3068 KB, uploaded 24 February 2017]   |  


Chongqing mountain citrus orchard is one of the main origins of Chinese citrus. Its planting terrain is complex and soil parent material is diverse. Currently, the citrus fertilization, irrigation and other management processes still have great blindness. They usually use the same pattern and the same formula rather than considering the orchard terrain features, soil differences, species characteristics and the state of tree growth. With the help of the ZigBee technology, artificial intelligence and decision support technology, this paper has developed the research on the application technology of agricultural Internet of Things for real-time monitoring of citrus soil moisture and nutrients as well as the research on the integration of fertilization and irrigation decision support system. Some achievements were obtained including single-point multi-layer citrus soil temperature and humidity detection wireless sensor nodes and citrus precision fertilization and irrigation management decision support system. They were applied in citrus base in the Three Gorges Reservoir Area. The results showed that the system could help the grower to scientifically fertilize or irrigate, improve the precision operation level of citrus production, reduce the labor cost and reduce the pollution caused by chemical fertilizer. View Full-Text
Keywords: Internet of Things technology; single-point multi-layer detection; fertilization and irrigation decision support Internet of Things technology; single-point multi-layer detection; fertilization and irrigation decision support

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, X.; Zhang, J.; Li, L.; Zhang, Y.; Yang, G. Monitoring Citrus Soil Moisture and Nutrients Using an IoT Based System. Sensors 2017, 17, 447.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top