Page 250 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications
P. 250
Chapter 8 A review on plant diseases recognition through deep learning 241
[14] S. Savary, A. Ficke, J. Aubertot, C. Hollier, Crop losses due to diseases and
their implications for global food production losses and food security, Food
Secur. 4 (4) (2012) 519e537.
[15] E.-C. Oerke, Crop losses to pests, J. Agric. Sci. 144 (2006) 31e43.
[16] D. Pimentel, R. Zuniga, D. Morrison, Update on the environmental and
economic costs associated with alien-invasive species in the United States,
Ecol. Econ. 52 (3) (2005) 273e288.
[17] M.J. Roberts, D.E. Schimmelpfennig, E. Ashley, M.J. Livingston, M.S. Ash,
U. Vasavada, The Value of Plant Disease Early-Warning Systems: A Case
Study of USDA's Soybean Rust Coordinated Framework, United States
Department of Agriculture, Economic Research Service, Washington, DC,
USA, 2006.
[18] M.M. López, E. Bertolini, A. Olmos, P. Caruso, M.T. Corris, P. Llop,
R. Renyalver, M. Cambra, Innovative tools for detection of plant pathogenic
viruses and bacteria, Int. Microbiol. 6 (2003) 233e243.
[19] D.J. Carter, R.B. Cary, Lateral flow microarrays: a novel platform for rapid
nucleic acid detection based on miniaturized lateral flow chromatography,
Nucleic Acids Res. 35 (10) (2007).
[20] F. Martinelli, B. Basile, G. Morelli, R. D'Andria, P. Tonutti, Effects of
irrigation on fruit ripening behavior and metabolic changes in olive, Sci.
Hortic. 144 (2012) 201e207.
[21] F. Martinelli, R.L. Reagan, S.L. Uratsu, M.L. Phu, U. Albrecht, W. Zhao,
C.E. Davis, K.D. Bowman, A.M. Dandekar, Gene regulatory networks
elucidating Huanglongbing disease mechanisms, PLoS One 8 (9) (2013).
[22] F. Rizzini, C. Bonghi, L. Chkaiban, F. Martinelli, P. Tonutti, Effects of
postharvest partial dehydration and prolonged treatments with ethylene on
transcript profiling in skins of wine grape berries, Acta Hortic. (877) (2010)
1099e1104.
[23] R. Tosetti, F. Martinelli, P. Tonutti, D. Barupal, Metabolomics approach to
studying minimally processed peach (Prunus persica) fruit, Acta Hortic.
(934) (2012) 1017e1021.
[24] F. Martinelli, S.L. Uratsu, U. Albrecht, R.L. Reagan, M.L. Phu, M. Britton,
V. Buffalo, J. Fass, E. Leicht, W. Zhao, D. Lin, R. Dsouza, C.E. Davis,
K.D. Bowman, A.M. Dandekar, Transcriptome profiling of citrus fruit
response to Huanglongbing disease, PloS One 7 (5) (2012).
[25] A.M. Dandekar, F. Martinelli, C.E. Davis, A. Bhushan, W. Zhao, O. Fiehn,
K. Skogerson, G. Wohlgemuth, R. D'Souza, S. Roy, R.L. Reagan, D. Lin,
R. Bruce Cary, P. Pardington, G. Gupta, Analysis of early host responses for
asymptomatic disease detection and management of specialty crops, Crit.
Rev. Immunol. 30 (2010) 277e289, https://doi.org/10.1615/
CritRevImmunol.v30.i3.50.
[26] L. Natali, T. Giordani, B. Lercari, P. Maestrini, R. Cozza, T. Pangaro,
P. Vernieri, F. Martinelli, A. Cavallini, Light induces expression of a
dehydrin-encoding gene during seedling de-etiolation in sunflower
(Helianthus annuus L.), J. Plant Physiol. 164 (3) (2007) 263e273.
[27] B. Niederbacher, J. Winkler, J. Schnitzler, Volatile organic compounds as
non-invasive markers for plant phenotyping, J. Exp. Bot. 66 (18) (Nov. 2015)
5403e5416.
[28] A. Loutfi, S. Coradeschi, G.K. Mani, P. Shankar, J.B.B. Rayappan, Electronic
noses for food quality: a review, J. Food Eng. 144 (2015) 103e111.
[29] S. De Jong, F. van der Meer, Remote sensing image analysis: including the
spatial domain, Remote Sens. Digit. Image Process. (2005).