Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: smol: Sensing Soil Moisture using LoRa   Technologies for environmental and agricultural monitoring are on the rise,
however, there is a lack of small, low-power, and lowcost sensing devices in
the industry. One of these monitoring tools is a soil moisture sensor. Soil
moisture has significant effects on crop health and yield, but commercial
monitors are very expensive, require manual use, or constant attention. This
calls for a simple and low-cost solution based on novel technology. In this
work, we introduce smol: Sensing Soil Moisture using LoRa, a low-cost system to
measure soil moisture using received signal strength indicator (RSSI) and
transmission power. It is compact and can be deployed in the field to collect
data automatically with little manual intervention. Our design is enabled by
the phenomenon that soil moisture attenuates wireless signals, so the signal
strength between a transmitter-receiver pair decreases. We exploit this
physical property to determine the variation in soil moisture. We designed and
tested our measurement-based prototype in both indoor and outdoor environments.
With proper regression calibration, we show soil moisture can be predicted
using LoRa parameters.

20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an