scholarly journals Chlorophyll a fluorescence imaging of soya bean leaflets infected by Corynespora cassiicola

2018 ◽  
Vol 166 (11-12) ◽  
pp. 782-789
Author(s):  
Alessandro A. Fortunato ◽  
Daniel Debona ◽  
Carlos E. Aucique-Pérez ◽  
Emerson Fialho Corrêa ◽  
Fabrício A. Rodrigues
Keyword(s):  
Fluorescence Imaging ◽  
Chlorophyll A ◽  
Chlorophyll A Fluorescence ◽  
Soya Bean ◽  
Corynespora Cassiicola

Effects of Epoxiconozale and Pyraclostrobin Fungicides in the Infection Process of Hemileia vastatrix on Coffee Leaves as Determined by Chlorophyll a Fluorescence Imaging

2015 ◽  
Vol 163 (11-12) ◽  
pp. 968-977 ◽  
Author(s):  
Jaime Honorato Júnior ◽  
Laércio Zambolim ◽  
Henrique Silva Silveira Duarte ◽  
Carlos Eduardo Aucique-Pérez ◽  
Fabrício Ávila Rodrigues
Keyword(s):  
Fluorescence Imaging ◽  
Chlorophyll A ◽  
Chlorophyll A Fluorescence ◽  
Infection Process ◽  
Hemileia Vastatrix

CLASSIFYING APPLES BY THE MEANS OF FLUORESCENCE IMAGING

2004 ◽  
Vol 18 (02) ◽  
pp. 157-174 ◽  
Author(s):  
MARIUS C. CODREA ◽  
OLLI S. NEVALAINEN ◽  
ESA TYYSTJÄRVI ◽  
MARTIN VANDEVEN ◽  
ROLAND VALCKE
Keyword(s):  
Neural Networks ◽  
Fluorescence Imaging ◽  
Chlorophyll A ◽  
Blue Light ◽  
Chlorophyll A Fluorescence ◽  
Classification Method ◽  
Test Material ◽  
Fluorescence Images

Classification of harvested apples when predicting their storage potential is an important task. This paper describes how chlorophyll a fluorescence images taken in blue light through a red filter, can be used to classify apples. In such an image, fluorescence appears as a relatively homogenous area broken by a number of small nonfluorescing spots, corresponding to normal corky tissue patches, lenticells, and to damaged areas that lower the quality of the apple. The damaged regions appear more longish, curved or boat-shaped compared to the roundish, regular lenticells. We propose an apple classification method that employs a hierarchy of two neural networks. The first network classifies each spot according to geometrical criteria and the second network uses this information together with global attributes to classify the apple. The system reached 95% accuracy using a test material classified by an expert for "bad" and "good" apples.

scholarly journals Application of Chlorophyll a Fluorescence Imaging Analysis for Selection of Rapid Frozen Sweet Persimmon Fruits

2015 ◽  
Vol 34 (3) ◽  
pp. 210-216 ◽  
Author(s):  
Sung Young Yoo ◽  
So Hyun Park ◽  
Min Ju Lee ◽  
Jong Yong Park ◽  
Hong Gyu Kang ◽  
...  
Keyword(s):  
Fluorescence Imaging ◽  
Chlorophyll A ◽  
Chlorophyll A Fluorescence ◽  
Imaging Analysis ◽  
Selection Of

Rapid exposure assessment of PSII herbicides in surface water using a novel chlorophyll a fluorescence imaging assay

2008 ◽  
Vol 401 (1-3) ◽  
pp. 51-59 ◽  
Author(s):  
Renee Muller ◽  
Ulrich Schreiber ◽  
Beate I. Escher ◽  
Pamela Quayle ◽  
Susan M. Bengtson Nash ◽  
...  
Keyword(s):  
Surface Water ◽  
Exposure Assessment ◽  
Fluorescence Imaging ◽  
Chlorophyll A ◽  
Chlorophyll A Fluorescence

scholarly journals Using Chlorophyll a Fluorescence Imaging to Select Desiccation-Tolerant Native Moss Species for Water-Sustainable Green Roofs

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1748 ◽  
Author(s):  
Ricardo Cruz de Carvalho ◽  
Teresa Afonso do Paço ◽  
Cristina Branquinho ◽  
Jorge Marques da Silva
Keyword(s):  
Fluorescence Imaging ◽  
Chlorophyll A ◽  
Chlorophyll A Fluorescence ◽  
Urban Areas ◽  
Green Roofs ◽  
Moss Species ◽  
Change Models ◽  
Island Effect ◽  
Potential Benefits ◽  
Increasing Demand

Green roofs have been more thoroughly investigated in the last few years due to the potential benefits they offer to ecosystems in urban areas (e.g., carbon sequestration, particle retention, heat island effect attenuation). However, current climate change models predict an increase in desertification, with an increase in temperature and decrease in rainfall, which means there is an increasing demand for green roofs with lower water consumption. Vegetation with very little water requirements, such as desiccation-tolerant mosses, has shown a potential to complement or substitute for vascular species, increasing the sustainability of lower water use in green roofs. In this study, we use chlorophyll a fluorescence imaging to screen for bryophytes with adequate physiology to be used in green roofs placed in at-risk areas with prolonged drought episodes. Apart from Hypnum cupressiforme, all selected species presented a high potential for use in those conditions, particularly Didymodon fallax, Grimmia lisae, Pleurochaete squarrosa, and Targionia hypophylla. Chlorophyll a fluorescence imaging technology proved to be a simple and non-invasive tool for a fast screening of these poikilohydric organisms, to be used in future studies of bryophyte biology, but more importantly in the green roof industry.

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