Paper · 2018 · Transactions of the ASABE

Center-Pivot-Mounted Sensing System for Monitoring Plant Height and Canopy Temperature

Ruixiu Sui; Jonnie Baggard

5
claims
7
verbatim quotes
9
citations
3
research areas
✓
Open access

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.

Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 5

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The WDAQ system recorded approximately 3,200 measurements per sensor per pivot circle.

Taxon
Plantt0
Outcome
measurements from each sensore0
Value
approximately 3,200 measurementse0
Setting
one pivot circlee0

Verbatim

e0

“the WDAQ system was able to record approximately 3,200 measurements from each sensor in one pivot circle (360°).”

✓ located verbatim in the source · abstract, characters 1567–1679 · show in text ↑
t0

“Plant Height”

✓ located verbatim in the source · title, characters 51–63 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Ultrasonic distance sensor error was 0.2 to 3 cm across a 14 to 209 cm range.

Taxon
Plantt0
Outcome
measurement errore0
Value
0.2 to 3 cme0
Qualifier
14 to 209 cme0

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”

✓ located verbatim in the source · abstract, characters 1680–1790 · show in text ↑
t0

“Plant Height”

✓ located verbatim in the source · title, characters 51–63 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Sensor plant height measurements strongly correlated with tape measurements in soybean and cotton, r2 = 0.97.

Taxon
soybean and cotton cropsGossypium hirsutumGlycine 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.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗
Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗

Verbatim

e0

“sensor-measured plant heights were strongly correlated with manually tape-measured plant heights in soybean and cotton crops (r 2 = 0.97).”

✓ located verbatim in the source · abstract, characters 1800–1938 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Plant height and canopy temperature measurements yielded spatial maps.

Taxon
plante0
Outcome
plant height and crop canopy temperature mapse0
Value
plant height and crop canopy temperature mapse0

Verbatim

e0

“measurements of plant height and crop canopy temperature were used to generate plant height and crop canopy temperature maps.”

✓ located verbatim in the source · abstract, characters 1978–2103 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The maps identified spatial variability in plant height and canopy temperature.

Taxon
plante0
Outcome
Spatial variabilities of plant height and canopy temperaturee0
Value
across the fielde0

Verbatim

e0

“Spatial variabilities of plant height and canopy temperature across the field could be identified from the maps”

✓ located verbatim in the source · abstract, characters 2104–2215 · show in text ↑