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IET Image Processing, Volume 19, Issue 1, January/December 2025.We present a hybrid deep learning architecture combining EfficientNetV2, MobileNetV2, and Vision Transformers, augmented with attention mechanisms and multi‐scale feature fusion. Optimised for edge deployment via TensorFlow Lite and integrated with IoT sensors for real‐time soil and field monitoring, the model achieved state‐of‐the‐art performance with
Thomas Kinyanjui Njoroge +2 more
wiley +1 more source
Banishing black sigatoka in bananas
, 2014 Research in the South Pacific has identified banana varieties with potential resistance to black leaf streak, also known as black sigatoka. The promising disease-resistant material has been screened from banana varieties imported to Western Samoa..
Technical Centre for Agricultural and Rural Cooperation
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Progress In Breeding Diploid Genetic Stocks Of Banana With Resistance To Black Sigatoka
, 2010 Selected genetically related diploid Musa materials of the base, first, and second generations of the breeding programme in the International Institute of Tropical Agriculture (IITA) high rainfall station, Onne were evaluated for black Sigatoka ...
Uguru, ML +3 more
core +1 more source
, 2021 Black Sigatoka remains to be the most costly disease of banana accounting to about 35% of the production cost. Management of the disease entails application of registered fungicides following an efficient and effective spray program in order to manage ...
Martin Searle +6 more
core +1 more source
Multilocational evaluation of black sigatoka resistance in banana and plantain
, 2018 Black sigatoka is a leaf spot disease on plantain and banana. Its sausal agent is the fungus Mycos-phaerella fijunsis Morelet. Black sigatoka is one of the most important constraints of plantain and banana cultivation throughout the world. Yield loss can
Ortíz, R. +3 more
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The Sigatoka leaf disease complex in banana
International audienceThere are three major leaf diseases, now called Pseudocercospora leaf spot diseases of banana, which form the sigatoka leaf spot complex: Sigatoka disease (yellow Sigatoka) caused by Pseudocercospora musae, black leaf streak disease
de Lapeyre de Bellaire, Luc +7 more
core +2 more sources
Mobile-Based convolutional neural network model for the early identification of banana diseases
Smart Agricultural TechnologyThis study aimed to deploy a deep learning model in a mobile application for the early identification of Fusarium Wilt and Black Sigatoka in bananas.
Christian A. Elinisa, Neema Mduma
doaj +1 more source
The Curse of Black Sigatoka: A Backward Bifurcation Perspective
Black Sigatoka disease (BSD), also known as black leaf streak disease, is an airborne fungal infection caused by \textit{Pseudocercospora fijiensis} that severely impacts global banana and plantain production. Its persistence and resistance to eradication make it one of the most challenging plant diseases to manage.
Afful, Bernard Asamoah +1 more
openaire +2 more sources
A Deep Learning Model for Classifying Black Sigatoka Disease in Banana Leaves Based on Infection Stages [PDF]
This research Journal article was published by IJST in October 2024Objective: This research study aims to develop an efficient deep-learning model to detect and classify stages of Black Sigatoka disease in banana plants.
Leo, Judith +3 more
core +1 more source
PLoS Genetics, 2016 The Sigatoka disease complex, caused by the closely-related Dothideomycete fungi Pseudocercospora musae (yellow sigatoka), Pseudocercospora eumusae (eumusae leaf spot), and Pseudocercospora fijiensis (black sigatoka), is currently the most devastating ...
Ti-Cheng Chang +3 more
doaj +1 more source