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Viral diseases are major sources of poor yields for cassava, the 2nd largest provider of carbohydrates in Africa.At least 80% of small-holder farmer households in Sub-Saharan Africa grow cassava.
R. Hillocks, M. Raya, and J. Thresh, “The association between root necrosis and above-ground symptoms of brown streak virus infection of cassava in southern tanzania,” International Journal of Pest Management , pp. 285–289, 1996
1996
Earlier work this paper cites.
G. W. OTIM-NAPE, T. ALICAI, and J. M. THRESH, “Changes in the incidence and severity of cassava mosaic virus disease, varietal diversity and cassava production in uganda,” Annals of Applied Biology , vol. 138, no. 3, pp. 313–327, 2001
2001
Earlier work this paper cites.
I. Abdullahi, G. Atiri, and A. Dixon, “Effects of cassava genotype, climate and the bemisia tabaci vector population on the development of african cassava mosaic geminivirus (acmv),” Acta Agronomica Hungarica , pp. 285–289, 2003
2003
Earlier work this paper cites.
C. Poulton, G. Tyler, P. Hazell, A. Dorward, J. Kydd, and M. Stockbridge, “Competitive commercial agriculture in sub?saharan africa,” Centre for Environmental Policy, Imperial College London, Wye, Ashford, Kent, TN25 5AH,UK , 2006
2006
Earlier work this paper cites.
J. R. Aduwo, E. Mwebaze, and J. A. Quinn, “Automated vision-based diagnosis of cassava mosaic disease,” Industrial Conference on Data Mining , pp. 114–122, 2010
2010
Earlier work this paper cites.
E. Mwebaze, P. Schneider, F. Schleif, J. R. Aduwo, J. A. Quinn, S. Haase, T. Villmann, and M. Biehl, “Divergence-based classification in learning vector quantization,” Neurocomputing , vol. 74, pp. 1429–1435, 2011
2011
Cited alongside, same era.
G. M. Rwegasira and C. M. E. Rey, “Response of selected cassava varieties to the incidence and severity of cassava brown streak disease in tanzania,” Journal of Agricultural Science , vol. 4, no. 7, 2012
2012
Cited alongside, same era.
A. Barbedo and J. Garcia, “Digital image processing techniques for detecting, quantifying and classifying plant diseases,” SpringerPlus , vol. 2, no. 1, pp. 1–12, 2013
2013
Cited alongside, same era.
J. Tuhaise, J. A. Quinn, and E. Mwebaze, “Pixel classification methods for automatic symptom measurement of cassava brown streak disease,” Proceding of the 1st International Conference on the Use of Mobile ICT in Africa , 2014
2014
Cited alongside, same era.
E. Mwebaze and M. Biehl, “Prototype-based classification for image analysis and its application to crop disease diagnosis,” Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016 , pp. 329–339, January 2016
2016
Later among the works it cites.
S. Sladojevic, M. Arsenovic, A. Anderla, D. Culibrk, , and D. Stefanovic, “Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification,” Computational Intelligence and Neuroscience , vol. 2016, p. 11, 2016
2016
Later among the works it cites.
2016
Later among the works it cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 770–778
2016
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E. Nuwamanya, Y. Baguma, E. Atwijukire, S. Acheng, and T. Alicai, “Competitive commercial agriculture in sub?saharan africa,” International Journal of Plant Physiology and Biochemistry , vol. 7(2), pp. 12–22, 2015
2015
Cited alongside, same era.
Later among the works it cites.