In diagnostic surveys, Curvularia stem blight affected 9, 13, and 38% of cassava fields, respectively, in Benin, Ghana, and Nigeria. Disease incidence (number of plants with visible symptoms per total sampled) ranged between 0 and 80%, and severity (number of lesions) between 2 and 25 lesions per...
Msikita, W.
,
Baimey, H.
,
James, B.D.
,
[Severity of curvularia stem blight disease of cassava in West Africa]
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Severity of curvularia stem blight disease of cassava in West Africa
International Institute of Tropical Agriculture
,
[Research to nourish Africa: overview of the 2003-2005 medium-term plan]
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Research to nourish Africa: overview of the 2003-2005 medium-term plan
Kato, Fred
,
Kabungo, David
,
Kilango, Michael
,
Magelanga, Aida
,
[Training manual for small-scale bean producers in Southern highlands of Tanzania]
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Training manual for small-scale bean producers in Southern highlands of Tanzania
Cassava Brown Streak Disease (CBSD) is a very serious disease in many cassava growing areas of the Eastern zone of Tanzania. It is mainly confined to the lower elevations, mainly along the coast yield losses of up to 74% occur as a result of CBSD infection in some part of the Eastern zone. In the...
Muhanna, M.
,
Raya, M.
,
Hillrocks, R.J.
,
Kanju, E.
,
Kiozya, H.
,
[On farm performance and farmers evaluation of cassava brown streak tolerant variety Kiroba in the Eastern zone of Tanzania]
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On farm performance and farmers evaluation of cassava brown streak tolerant variety Kiroba in the Eastern zone of Tanzania
Este livrete fala sobre todas pragas e doenças da banana. Ele te narra como elas se presentam, se propagem e como controlá-las. Estamos le dando este livrete como um agradecimento de ter participado no leventamento feito por um de nós.
Esperamos que isso vai ajudar você a lembrar do que você estu...
Convolutional neural network (CNN) models have the potential to improve plant disease phenotyping where the standard approach is visual diagnostics requiring specialized training. In scenarios where a CNN is deployed on mobile devices, models are presented with new challenges due to lighting and ...
Ramcharan, A.
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McCloskey, P.
,
Baranowski, K.
,
Mbilinyi, N.
,
Mrisho, L.
,
Ndalahwa, M.
,
Legg, J.P.
,
Hughes, D.P.
,
[A mobile-based deep learning model for cassava disease diagnosis]
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A mobile-based deep learning model for cassava disease diagnosis
Cassava is a main staple food for 800 million people world-wide. Production is limited by pest and pathogens. The most devastating cassava viruses are Cassava Brown Streak Virus and Uganda Cassava Brown Streak Virusboth causing severe root necrosis called Cassava Brown Streak Disease. In the last...
Bakelana, Z.
,
Laura, M.B.
,
Mahungu, N.
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Mavila, N.
,
Matondo, M.
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Nlandu, N.
,
Lunfuankenda, M.
,
Tevo, N.
,
Monde, G.
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Pita, J.,
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Lema, K.M.
,
Kanana, T.
,
[First report and preliminary evaluation of cassava root necrosis in Angola]
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First report and preliminary evaluation of cassava root necrosis in Angola