Sensor Network For Monitoring And Fault Detection In Drip Irrigation Systems Based On Embedded Systems

• Published in: Revista IEEE América Latina Vol. 18; no. 2; pp. 383 - 391
• Main Authors: Capraro Fuentes, Flavio Andres, Tosetti, Santiago Ramon, Campillo, Pedro Lucio
• Format: Journal Article
• Language: English
• Published: Los Alamitos IEEE 01.02.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Agricultural production; Biomedical monitoring; Embedded systems; Fault detection; IEEE transactions; Irrigation; Irrigation systems; Microcontroller; Microcontrollers; Moisture content; Monitoring; Precision Irrigation; Sensors; Servers; Software; Soil measurements; Soil moisture; Soil water; Soils; Stations; Water flow; Water use
• DOI: 10.1109/TLA.2020.9085294
• ISSN: 1548-0992

New methodologies in precision irrigation, aimed at monitoring and controlling the irrigation based on the crop water demand, allow to improve the water use efficiency in the agricultural production process. Measuring the soil water content to determine how much and when to irrigate is one way to control the crop irrigation. This work presents the development and setup of a wireless monitoring network of measurement stations based on embedded systems, that concentrate measurement of soil moisture, pressure in the irrigation lines, and water flow. A base station coordinates the communication with the measurement stations, saves the data in a local database and then upstream the data to a web server so the information can be remotely accessed. The design of the measurement stations is based on a microcontroller, MC9S08QE32 from NXP, while the base station is based on a Raspberry Pi3. The communication between the nodes is performed at 470MHz in a mesh mode configuration. In order to show the performance and reliability of the proposed system, results obtained from three irrigation treatments monitoring in a tomato crop are presented.