کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
85374 158941 2010 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Diagnosis of bacterial spot of tomato using spectral signatures
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Diagnosis of bacterial spot of tomato using spectral signatures
چکیده انگلیسی

Ultraviolet, visible, and near-infrared reflectance spectroscopy was used to determine the disease severity of tomato (Lycopersicon esculentum) leaves infected with Xanthomonas perforans, the causal agent of bacterial leaf spot of tomato. Chemometric methods were used to identify significant wavelengths and create spectral-based prediction models. Significant wavelengths were identified through analysis of the B-matrix from partial least squares (PLS) regression, analysis of a correlation coefficient spectrum, and through the use of a stepwise multiple linear regression (SMLR) procedure. These analysis methods revealed several significant regions wavelengths and produced predictive models of disease severity based on absorbance spectra. The best model predicted the disease severity of the validation data set with a root mean square difference (RMSD) of 4.9% and a coefficient of determination (R2) of 0.82. The results of this initial study indicate the potential for the use of spectral technology to detect bacterial leaf spot of tomato in the field.

Research highlights▶ Tomato leaves were infected with bacterial leaf spot of tomato. ▶ Leaves were rated for disease severity and leaf reflectance was measured. ▶ Significant wavelengths were identified using chemometric methods. ▶ The best model predicted the disease severity with a RMSD of 4.9% and R2 of 0.82.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 74, Issue 2, November 2010, Pages 329–335
نویسندگان
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