scholarly journals Analyzing chlorophyll fluorescence images in PlantCV

2021 ◽  
Author(s):  
Anna Casto ◽  
Haley Schuhl ◽  
Noah Fahlgren ◽  
Malia Gehan ◽  
Dominik Schneider
Keyword(s):  
Chlorophyll Fluorescence ◽  
Fluorescence Images

scholarly journals FLIP: FLuorescence Imaging Pipeline for field-based chlorophyll fluorescence images

SoftwareX ◽  
2021 ◽  
Vol 14 ◽  
pp. 100685
Author(s):  
Matthew T. Herritt ◽  
Jacob C. Long ◽  
Mike D. Roybal ◽  
David C. Moller ◽  
Todd C. Mockler ◽  
...  
Keyword(s):  
Chlorophyll Fluorescence ◽  
Fluorescence Imaging ◽  
Fluorescence Images

Visualizing photosynthesis through processing of chlorophyll fluorescence images

1990 ◽  
Author(s):  
Paul F. Daley ◽  
J. Timothy Ball ◽  
Joseph A. Berry ◽  
Juergen Patzke ◽  
Klaus E. Raschke
Keyword(s):  
Chlorophyll Fluorescence ◽  
Fluorescence Images

scholarly journals Detection of Chilling Injury in Pickling Cucumbers Using Dual-Band Chlorophyll Fluorescence Imaging

Foods ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1094
Author(s):  
Yuzhen Lu ◽  
Renfu Lu
Keyword(s):  
Chlorophyll Fluorescence ◽  
Fluorescence Imaging ◽  
Chilling Injury ◽  
Economic Loss ◽  
Dual Band ◽  
Chlorophyll Fluorescence Imaging ◽  
Support Vector ◽  
Feature Selection Technique ◽  
Pickling Cucumbers ◽  
Fluorescence Images

Pickling cucumbers are susceptible to chilling injury (CI) during postharvest refrigerated storage, which would result in quality degradation and economic loss. It is, thus, desirable to remove the defective fruit before they are marketed as fresh products or processed into pickled products. Chlorophyll fluorescence is sensitive to CI in green fruits, because exposure to chilling temperatures can induce detectable alterations in chlorophylls of tissues. This study evaluated the feasibility of using a dual-band chlorophyll fluorescence imaging (CFI) technique for detecting CI-affected pickling cucumbers. Chlorophyll fluorescence images at 675 nm and 750 nm were acquired from pickling cucumbers under the excitation of ultraviolet-blue light. The raw images were processed for vignetting corrections through bi-dimensional empirical mode decomposition and subsequent image reconstruction. The fluorescence images were effective for ascertaining CI-affected tissues, which appeared as dark areas in the images. Support vector machine models were developed for classifying pickling cucumbers into two or three classes using the features extracted from the fluorescence images. Fusing the features of fluorescence images at 675 nm and 750 nm resulted in overall accuracies of 96.9% and 91.2% for two-class (normal and injured) and three-class (normal, mildly and severely injured) classification, respectively, which are statistically significantly better than those obtained using the features at a single wavelength, especially for the three-class classification. Furthermore, a subset of features, selected based on the neighborhood component feature selection technique, achieved the highest accuracies of 97.4% and 91.3% for the two-class and three-class classification, respectively. This study demonstrated that dual-band CFI is an effective modality for CI detection in pickling cucumbers.

scholarly journals Analyzing chlorophyll fluorescence images in PlantCV

2021 ◽  
Author(s):  
Anna Casto ◽  
Haley Schuhl ◽  
Dominik Schneider ◽  
John Wheeler ◽  
Malia Gehan ◽  
...  
Keyword(s):  
Chlorophyll Fluorescence ◽  
Fluorescence Images

The Influence of Nitrogen on the Chlorophyll Fluorescence Parameters of Lettuce

2013 ◽  
Vol 756-759 ◽  
pp. 3-7
Author(s):  
Jun Sun ◽  
Cai Hui Song ◽  
Xiao Hua Xiao ◽  
Xia Ming Jin ◽  
Ji Heng Ni
Keyword(s):  
Chlorophyll Fluorescence ◽  
Nitrogen Fertilizer ◽  
Growth Period ◽  
Nitrogen Level ◽  
Mature Stage ◽  
Chlorophyll Fluorescence Parameters ◽  
Fluorescence Parameters ◽  
Nitrogen Levels ◽  
Fluorescence Images ◽  
Normal Nitrogen

Chlorophyll fluorescence images of lettuce in four nitrogen levels were studied to investigate the influence of nitrogen on fluorescence parameters. The results indicated that, at seedling period, Fo and Fm declined with the increase of the amount of nitrogen fertilizer. Fv/Fm had a downward trend after the first rise with the increase of the amount of nitrogen fertilizer. And the influence of nitrogen on Yield, qp, qN were not obvious. At tillering stage, Fo, Fm were on a same level in every nitrogen level. Yield, qp and ETR decreased with the increase in the amount of nitrogen. At mature stage, in addition to in the severe lack of nitrogen level, Fo and Fm reached the maximum of the whole growth period. In the normal nitrogen amount, Fv/Fm, Yield, ETR, qp were high, but qN was very low.

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