Abstract
The article presents the development and testing of low-cost Internet-of-Things (IoT) networks for air and soil monitoring in agricultural fields. The sensor ensemble for completing an air and soil monitoring point (MP) was founded. The Watermark sensors and automatic tensiometers for soil moisture monitoring at 2–3 depths, temperature and relative humidity sensors for air monitoring, and rain sensors for the validation of irrigation rate and precipitation recording were proposed. The structure of sensors and modules of the base station (BS), which collected the monitoring data in the field and sent it to the server, was proposed. The Internet-of-Things (IoT) network architecture and the data transmission methods were also proposed. To transmit monitoring data to a remote server and to make irrigation decisions, it was suggested to use LoRa radio and mobile Internet. The practical testing of networks was carried out in the farm of the Kherson region (Ukraine) in large area fields under sprinkling. The effect of crop height and the location of forest strips in the area between the BS and the monitoring points, and the necessary number of MP for one BS were determined. For stand-alone remote from BS monitoring points, it was recommended to use mobile Internet for data transmission. Unlike similar studies, the article analyzes the entire monitoring chain: from the formation of an air and soil sensor ensemble at the MP to the construction of a network of monitoring points in the field and equipment of BS. The complexity of the work is that it is recommended to combine the use of both LoRa and GSM for the transmission of the collected monitoring data. The monitoring data obtained through these networks is used as a feedback loop in the decision support system for sprinkling irrigation control. The areas of further studies of this problem were analyzed and proposed as well.
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Kovalchuk, V., Voitovich, O., Demchuk, D., Demchuk, O. (2021). Development of Low-Cost Internet-of-Things (IoT) Networks for Field Air and Soil Monitoring Within the Irrigation Control System. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education III. ICCSEEA 2020. Advances in Intelligent Systems and Computing, vol 1247. Springer, Cham. https://doi.org/10.1007/978-3-030-55506-1_8
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