REFLECTANCE-BASED SENSOR TO PREDICT VISUAL QUALITY RATINGS OF TURFGRASS PLOTS
[ N/A ]
Tarih
2008
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Amer Soc Agricultural & Biological Engineers
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Turfgrass quality is visually evaluated by human assessors based on a settle of 1 to 9. This evaluation practice is subjective and does not provide accurate and reproducible measure of the turf quality. The aim of this research was to design a portable optical sensor to predict the quality ratings of turfgrass research plots from spectral reflectance. Reflectance data were collected using a dual spectroradiometer covering a spectrum of 350-1050 nm front bermudagrass and bluegrass research plots. Two different regression methods, Multiple Linear Regression (MLR) and Partial Least Squares Regression (PLSR), were used and compared. Two wavelength bands centered at 680 nm (Red) and 780 nm (NIR) were identified since these bands carry useful information in the prediction of turfgrass visual quality The average Standard Error of Cross Validation (SECV) was found to be about 0.76 and 0.88 by using the model with Red and NIR bands for bermudagrass and bluegrass data sets, respectively. A simple prototype sensor using the two identified bands was fabricated and tested. The prototype sensor predicted the visual quality ratings as well as the spectroradiometer with a SECV of about 0.57 using two bands.
Açıklama
Anahtar Kelimeler
Turfgrass, Visual quality assessment, Dual spectroradiometer, Sensor, Spectral reflectance
Kaynak
Applied Engineering in Agriculture
WoS Q Değeri
Q4
Scopus Q Değeri
Cilt
24
Sayı
6
