Abstract:
Weather conditions in agriculture are determinants due to their effects on plants. Depending on
the species, they will have values or adequate ranges within which their physiological
functioning will be optimum; however, if weather or climatic conditions are outside these ideal
range, their growth and development will be affected. The objective was to compare temperature
records obtained from the weather station Block 910-CIANO and those obtained from the digital
sensor datalogger LCD-520, located within a wheat plot at the Norman E. Borlaug Experimental
Station in Sonora, Mexico. The sensor was set up to record hourly air temperature data, and data
were obtained from the automated weather station network which was closest to the plot were
the sensor was located; data comprise the wheat season fall-winter 2019-2020, from February 4
to May 5, 2020. Data were filtered into daily and night schedule, considering the time from 7:00
to 18:00, and from 19:00 to 6:00. The t-students was performed in order to determine mean
significant differences between the datalogger and the weather station (WS). The results
indicated significant mean differences between both instruments. The minimum temperature
recorded by the datalogger was 1.2°C and 0.76°C below the range shown by the WS, while the
maximum temperature recorded by the datalogger was 1.42°C and 5.39°C above the range
shown by the WS. The overall average temperature recorded by the datalogger was 0.44°C
higher than the WS, and it also recorded 122 more cold units more than the WS.
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