Abstract
Today, through the monitoring of agronomic variables, the wireless sensor networks are playing an increasingly important role in precision agriculture. Among the emerging technologies used to develop prototypes related to wireless sensor network, we find the Arduino platform and XBee radio modules from the DIGI Company. In this article, based on field tests, we conducted a comparative analysis of received strength signal intensity levels, calculation of path loss with “log-normal shadowing” and free-space path loss models. In addition, we measure packet loss for different transmission, distances and environments with respect to an “Arduino Mega” board, and radio modules XBee PRO S1 and XBee Pro S2. The tests for the packet loss and received strength signal intensity level show the best performance for the XBee Pro S2 in the indoor, outdoor, and rural scenarios.
Highlights
In precision agriculture, tools from different disciplines of science are applied to agriculture, including the use of remote sensing, that has helped improve production efficiency levels, decrease production costs, and minimize environmental impact
The values obtained in the measurements for packet loss and received strength signal intensity (RSSI) in modules XBee Pro S1 and XBee Pro S2 were plotted
We confirmed that packet loss and RSSI levels increase in proportion to the distance in which the end-device is located
Summary
Tools from different disciplines of science are applied to agriculture, including the use of remote sensing, that has helped improve production efficiency levels, decrease production costs, and minimize environmental impact. Thanks to its ability to obtain information from the environmental variables, affect the crop, whether in small farms or large tracts of land.[1,2,3] technologies based on WSN (wireless sensor networks) offer a good option of distributed monitoring through sensors that cooperatively operate in a given area and in different physical and geographical conditions. This contributes to real-time information collection (such as temperature, solar radiation, atmospheric humidity, and soil pH).
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