  The study of wireless channel behavior has been an active research topic for
many years. However, there exists a noticeable scarcity of studies focusing on
wireless channel characteristics in rural areas. With the advancement of smart
agriculture practices in rural regions, there has been an increasing demand for
affordable, high-capacity, and low-latency wireless networks to support various
precision agriculture applications such as plant phenotyping, livestock health
monitoring, and agriculture automation. To address this research gap, we
conducted a channel measurement study on multiple wireless frequency bands at
various crop and livestock farms near Ames, Iowa, based on Iowa State
University~(ISU)'s ARA Wireless Living lab - one of the NSF PAWR platforms. We
specifically investigate the impact of weather conditions, humidity,
temperature, and farm buildings on wireless channel behavior. The resulting
measurement dataset, which will soon be made publicly accessible, represents a
valuable resource for researchers interested in wireless channel prediction and
optimization.
