Paper
6 January 1995 Spatial statistical measures of crop temperature variability using infrared thermography in radiant heated greenhouse crops
Abdeljabar Bahri, George E. Meyer, Kenneth Von Bargen, Jay B. Fitzgerald
Author Affiliations +
Proceedings Volume 2345, Optics in Agriculture, Forestry, and Biological Processing; (1995) https://doi.org/10.1117/12.198878
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
Crop surface temperature under a radiant heated greenhouse was measured using a portable infrared thermometer. Plants were arranged so that each plant occupied a grid cell of 30 cm X 30 cm (1 ft X 1 ft). Data collected were analyzed for their spatial distribution. Geostatistical software was used to characterize the spatial variability of the plant surface temperature. The shape of the empirical semi-variogram suggested that a spherical model was best fitted to the empirical semi-variogram. This model indicated that the nugget effect was estimated at 1.2, the sill at 3.3 and the range at 1.65 m. This model was used in block kriging to estimate plant surface temperature for unsampled locations.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abdeljabar Bahri, George E. Meyer, Kenneth Von Bargen, and Jay B. Fitzgerald "Spatial statistical measures of crop temperature variability using infrared thermography in radiant heated greenhouse crops", Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); https://doi.org/10.1117/12.198878
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KEYWORDS
Thermography

Infrared radiation

Atmospheric modeling

Temperature metrology

Thermal modeling

Statistical analysis

Spherical lenses

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