Abstract
Abstract. Easy-to-use data acquisition methods are required for variable-rate irrigation (VRI) decision support systems. Plant canopy temperature is related to plant water stress. Plant height is useful as an indicator of plant health conditions and can be used to estimate yield potential. Therefore, measurements of plant canopy temperature and plant height coupled with spatial information in the field can be used for determining VRI water application depths. A center-pivot-mounted wireless data acquisition (WDAQ) system was developed to collect plant canopy temperature and plant height data in the field. Each WDAQ unit consisted of a GPS receiver, programmable data logger, infrared temperature sensor, ultrasonic distance sensor, solar power supply, and wireless data transmitter/receiver. The system included two WDAQ units installed on a four-span center-pivot VRI system. One unit was mounted at the middle of the third span, and the other was mounted at the middle of the fourth span from the pivot. The infrared temperature sensors were used to detect the canopy temperature, while the ultrasonic distance sensors were used to measure plant height. The WDAQ system was designed to continuously and simultaneously measure plant canopy temperature and plant height and record the spatial coordinates at each measurement location as the center pivot moved around the field. Data collected were wirelessly transferred to a receiver for data processing. This WDAQ system has been tested and evaluated in the field for two years. Test results indicated that the WDAQ system was able to record approximately 3,200 measurements from each sensor in one pivot circle (360°). The measurement error of the ultrasonic distance sensor was 0.2 to 3 cm in a measurement range of 14 to 209 cm, and the sensor-measured plant heights were strongly correlated with manually tape-measured plant heights in soybean and cotton crops (r 2 = 0.97). Combined with the spatial information, measurements of plant height and crop canopy temperature were used to generate plant height and crop canopy temperature maps. Spatial variabilities of plant height and canopy temperature across the field could be identified from the maps and used in irrigation research. The WDAQ system has great potential for automatic creation of VRI prescription maps and plant-based irrigation scheduling. Keywords: Canopy temperature, Irrigation scheduling, Plant height, Sensors, Variable-rate irrigation.
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Claims 5
Claim · model-written summary
The WDAQ system recorded approximately 3,200 measurements per sensor per pivot circle.
Verbatim
e0“the WDAQ system was able to record approximately 3,200 measurements from each sensor in one pivot circle (360°).”
t0“Plant Height”
Claim · model-written summary
Ultrasonic distance sensor error was 0.2 to 3 cm across a 14 to 209 cm range.
Verbatim
e0“The measurement error of the ultrasonic distance sensor was 0.2 to 3 cm in a measurement range of 14 to 209 cm”
t0“Plant Height”
Claim · model-written summary
Sensor plant height measurements strongly correlated with tape measurements in soybean and cotton, r2 = 0.97.
- Taxon
- soybean and cotton crops
Gossypium hirsutum
Glycine maxe0 - Outcome
- sensor-measured plant heightse0
- Direction
- strongly correlatede0
- Value
- r 2 = 0.97e0
- Comparator
- manually tape-measured plant heightse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.


Verbatim
e0“sensor-measured plant heights were strongly correlated with manually tape-measured plant heights in soybean and cotton crops (r 2 = 0.97).”
Claim · model-written summary
Plant height and canopy temperature measurements yielded spatial maps.
Verbatim
e0“measurements of plant height and crop canopy temperature were used to generate plant height and crop canopy temperature maps.”
Claim · model-written summary
The maps identified spatial variability in plant height and canopy temperature.
Verbatim
e0“Spatial variabilities of plant height and canopy temperature across the field could be identified from the maps”