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Journal Article 2019-03-20

Autor: Ramcharan, A. McCloskey, P. Baranowski, K. Mbilinyi, N. Mrisho, L. Ndalahwa, M. Legg, J.P. Hughes, D.P.

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 ...

Enlace original: https://cgspace.cgiar.org/handle/10568/105535

Investigación en Agricultura
Enlace permanente

Ramcharan, A. ,  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] ,  A mobile-based deep learning model for cassava disease diagnosis
Journal Article 2017

Autor: Legg, J.P. Ndalahwa, M. Yabeja, J. Ndyetabula, I. Bouwmeester, H.J. Shirima, R. Mtunda, K.

Cassava viruses are the major biotic constraint to cassava production in Africa. Community-wide action to manage them has not been attempted since a successful cassava mosaic disease control programme in the 1930s/40 s in Uganda. A pilot initiative to investigate the effectiveness of community ph...

Enlace original: https://cgspace.cgiar.org/handle/10568/88010

Investigación en Agricultura
GIS
Enlace permanente

Legg, J.P. ,  Ndalahwa, M. ,  Yabeja, J. ,  Ndyetabula, I. ,  Bouwmeester, H.J. ,  Shirima, R. ,  Mtunda, K. ,  [Community phytosanitation to manage cassava brown streak disease] ,  Community phytosanitation to manage cassava brown streak disease

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