[Atanasoff D., 1932. Plum pox. A new virus disease. Yearb. Sof. Univ., Faculty of Agriculture and Silviculture 11: 49-69.]Search in Google Scholar
[Atanasoff D., 1933. Sharka – a new viral disease on plums in Bulgaria. Yearb. Sof. Univ., Faculty of Agronomy 11: 49-70.]Search in Google Scholar
[Atanasoff D., 1935. Mosaic of stone fruits. Phytopathol. 8: 259-284.]Search in Google Scholar
[Bock C.H., Poole G.H., Parker P.E., Gottwald T.R., 2010. Plant disease severity estimated visually by digital photography and image analysis, and by hyperspectral imaging. Crit. Rev. Plant Sci. 29: 59-107.10.1080/07352681003617285]Search in Google Scholar
[Bravo C., Moshou D., West J., McCartney A., Ramon H., 2003. Early disease detection in wheat fields using spectral reflectance. Biosys. Eng. 84(2): 137-145.10.1016/S1537-5110(02)00269-6]Search in Google Scholar
[Campbell P.K.E., Middleton E.M., Mcmurtrey J.E., Corp L.A., Chappelle E.W., 2007. Assessment of vegetation stress using reflectance or fluorescence measurements. J. Environ. Qual. 36: 832-845.10.2134/jeq2005.039617485715]Search in Google Scholar
[Clark M., Adams A., 1977. Characteristics of the microplate method of enzyme linked immunosorbent assay (ELISA) for the detection of plant viruses. J. Gen. Virol. 34: 475-483.10.1099/0022-1317-34-3-475323416]Search in Google Scholar
[Dunez J., Sutic D., 1988. Plum pox virus. In: European Handbook of Plant Diseases. I.M. Smith, J. Dunez, R.A. Eliot, D.H. Phillips and S.A. Arches (eds), Blackwell, Oxford, UK: 44-46.]Search in Google Scholar
[Krezhova D., 2011. Spectral remote sensing of the responses of soybean plants to environmental stresses, In: Soybean – Genetics and Novel Techniques for Yield Enhancement, Chapter 11. D. Krezhova (ed), Tech Publisher: 215-256.10.5772/24741]Search in Google Scholar
[Krezhova D.D., Petrov N.M., Maneva S.N., 2012. Hyperspectral remote sensing applications for monitoring and stress detection in cultural plants: viral infections in tobacco plants, Proc. of Remote Sensing for Agriculture, Ecosystems, and Hydrology Conf. September, Edinburgh, UK, XIV, 8531: 24-27.10.1117/12.974722]Search in Google Scholar
[Mahlein A-K., Oerke E.C., Steiner U., Dehne H-W., 2012. Hyperspectral imaging for small-scale analysis of symptoms caused by different sugar beet diseases. Plant Methods 8(3): 1-13. Available online at http://www.plantmethods.com/content/8/1/3.10.1186/1746-4811-8-3327448322273513]Search in Google Scholar
[Maxwell K., Johnson G., 2000. Chlorophyll fluorescence – a practical guide. J. Exper. Botany, 51(345): 659-668.10.1093/jexbot/51.345.659]Search in Google Scholar
[Moshou D., Bravo C., Oberti R., West J., Bodria L., McCartney A., Ramon H., 2005. Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps. J. Real-Time Image Processing 11(2): 75-83.10.1016/j.rti.2005.03.003]Search in Google Scholar
[Nemeth M., 1994. History and importance of plum pox in stone-fruit production. Bulletin OEPP/EPPO Bulletin 24: 525-536.10.1111/j.1365-2338.1994.tb01065.x]Search in Google Scholar
[OEPP/EPPO, 2004, Bulletin OEPP/EPPO Bulletin 34: 155-157.10.1111/j.1365-2338.2004.00713.x]Search in Google Scholar
[Pinter P.J., Hatfield J.L., Schepers J.S., Barnes E.M., Moran M.S., Daughtry C.S.T., Upchurch D.R., 2003. Remote sensing for crop management. Photogramm. Eng. Remote Sens. 69: 647-664.10.14358/PERS.69.6.647]Search in Google Scholar
[Schreiber U., 2004. Chlorophyll a Fluorescence: A Signature of Photosynthesis. G.C. Papageorgiou, and Govindjee (eds), Springer, Dordrecht, 279.]Search in Google Scholar
[Sims D.A., Gamon J.A., 2002. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sens. Environ. 81: 337-354.10.1016/S0034-4257(02)00010-X]Search in Google Scholar
[Smith R.B., 2001. Introduction to remote sensing of the environment. www.microimages.com]Search in Google Scholar
[Trifonov D., 1972. Viral diseases on the fruit trees. Zemizdat, Sofia: 130-132.]Search in Google Scholar
[Usha K., Bhupinder S., 2013. Potential applications of remote sensing in horticulture-A review. Sci. Horticul. 153: 71-83.10.1016/j.scienta.2013.01.008]Search in Google Scholar
[Ustin S.L., Gamon J, A., 2010. Remote sensing of plant functional types. New Phytol. 186: 795-816.10.1111/j.1469-8137.2010.03284.x20569415]Search in Google Scholar
[Vulić T., Nikolić D., Oparnica Č., Đorđević B., Kuzmanović S., Starović M., Đinović I., Nikolić N., Tosić M., 2011. Sectorial resistance of plums against sharka disease (Plum pox virus). Zastita bilja, Beograd, 62(1) 275: 5-15.]Search in Google Scholar
[West J.S., Bravo C., Oberit R., Lemaire D., Moshou D., McCartney H.A., 2003. The potential of optical canopy measurement for targeted control of field crop diseases. Annu. Rev. Phytopathol. 41: 593-614.10.1146/annurev.phyto.41.121702.10372612730386]Search in Google Scholar
[Yang Z., Rao M.N., Elliott N.C., Kindler S.D., Popham T.W., 2009. Differentiating stress induced by greenbugs and Russian wheat aphids in wheat using remote sensing. Comput. Electron. Agric. 67(1-2): 64-70.10.1016/j.compag.2009.03.003]Search in Google Scholar