Thermography versus chlorophyll fluorescence imaging for detection and quantification of apple scab

Computers and Electronics in Agriculture

Volumn 90, Issue , 2013, Pages 159-163

  Belin, Étienne ^a   Rousseau, David ^b   Boureau, Tristan ^a   Caffier, Valérie ^c  

^a UNIVERSITÉ D'ANGERS   (France)

^b UNIVERSITÉ DE LYON   (France)

^c AGROCAMPUS OUEST   (France)

Author keywords

Apple scab; Chlorophyll fluorescence imaging; Computer vision; Pathogen infection; Thermal imaging

Indexed keywords

COMPUTER VISION; ENVIRONMENTAL CHAMBERS; FLUORESCENCE; FRUITS; INFRARED IMAGING; PLANTS (BOTANY);

APPLE SCAB; CHLOROPHYLL FLUORESCENCE IMAGING; ENVIRONMENTAL CONDITIONS; FLUORESCENCE IMAGING; GROWTH CHAMBER; LEAF AREA; LINEAR RELATIONSHIPS; OPTICAL IMAGING; PATHOGEN INFECTION; PLANT PATHOLOGY; ROC CURVES;

THERMOGRAPHY (IMAGING);

AGRICULTURAL TECHNOLOGY; CHLOROPHYLL; COMPARATIVE STUDY; COMPUTER; FLUORESCENCE; PATHOGENICITY; QUANTITATIVE ANALYSIS;

MALUS X DOMESTICA;

EID: 84871926643     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2012.09.014     Document Type: Article

References (17)

1. Agrios G. Plant Pathology 2005, Academic Press, London.
2. Belin E., Rousseau D., Léchappé J., Langlois-Meurinne M., Dürr C. Rate-distortion tradeoff to optimize high-throughput phenotyping systems. Application to X-ray images of seeds. Computers and Electronics in Agriculture 2011, 77:188-194.
3. Bowen J.K., Mesarich C.H., Bus V.G.M., Beresford R.M., Plummer K.M., Templeton M.D.S. Venturia inaequalis: the causal agent of apple scab. Molecular Plant Pathology 2011, 12:105-122.
4. Caffier V., Didelot F., Pumo B., Causeur D., Durel C.E., Parisi L. Aggressiveness of eight Venturia inaequalis isolates virulent and avirulent to the major resistance gene Rvi6 on a non-Rvi6 apple cultivar. Plant Pathology 2010, 59:1072-1080.
5. Calenge F., Faure A., Goerre M., Gebhardt C., de Weg W.E.V., Parisi L., Durel C.E. Quantitative trait loci (QTL) analysis reveals both broad-spectrum and isolate-specific QTL for scab resistance in an apple progeny challenged with eight isolates of Venturia inaequalis. Phytopathology 2004, 94:370-379.
6. Chaerle L., Straeten D.V. Seeing is believing: imaging techniques to monitor plant health. Biochimica and Biophysica Acta 2001, 1519:153-166.
7. Chaerle L., Hagenbeek D., Bruyne E.D., Valcke R., Straeten D.V. Thermal and chlorophyll-fluorescence imaging distinguish plant-pathogen interactions at an early stage. Plant and Cell Physiology 2004, 45:887-896.
8. Chéné Y., Rousseau D., Lucidarme P., Bertheloot J., Caffier V., Morel P., Belin é., Chapeau-Blondeau F. On the use of depth camera for 3D phenotyping of entire plants. Computers and Electronics in Agriculture 2012, 82:122-127.
9. Croxall H.E., Gwynne D.C., Jenkins J.E.E. The rapid assessment of apple scab on leaves. Plant Pathology 1952, 1:39-41.
10. Delalieux S., Auwerkerken A., Verstraeten W., Somers B., Valcke R., Lhermitte J.K.S., Coppin P. Hyperspectral reflectance and fluorescence imaging to detect scab induced stress in apple leaves. Remote Sensing 2009, 1:858-874.
11. Goudail F., Réfrégier P., Delyon G. Bhattacharyya distance as a contrast parameter for statistical processing of noisy optical images. Journal of Optical Society of America 2004, 21:1231-1240.
12. Kailath T. The divergence and bhattacharyya distance measures in signal selection. IEEE Transactions on Communication Technology 1967, 15:52-60.
13. Kass M., Witkin A., Terzopoulos D. Snakes: active contour models. International Journal of Computer Vision 1988, 1:321-331.
14. Oerke E.C., Steiner U., Dehne H.W., Lindenthal M. Thermal imaging of cucumber leaves affected by downy mildew and environmental conditions. Journal of Experimental Botany 2006, 57:2121-2132.
15. Oerke E.C., Fröhling P., Steiner U. Thermographic assessment of scab disease on apple leaves. Precision Agriculture 2011, 12:699-715.
16. Papageorgiou G., Govindjee Chlorophyll a Fluorescence: A Probe of Photosynthesis 2004, Kluwer Academic, Dordrecht.
17. Sankaran S., Mishra A., Ehsani R., Davis C. A review of advanced techniques for detecting plant diseases. Computers and Electronics in Agriculture 2010, 72:1-13.