Results 71 to 80 of about 638 (162)
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
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
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Predicted economic impact of black Sigatoka on the Australian banana industry
Crop Protection, 2013 While Australia has lifted its outright ban on banana imports, very strict pre-entry requirements remain in place making it prohibitively expensive for foreign suppliers to land product in Australia. These include the establishment and maintenance of areas of low pest prevalence (following guidelines described in FAO, 2005; FAO, 2007, respectively ...
Cook, David +7 more
openaire +4 more sources
Biotecnología Vegetal, 2001 The Black sigatoka can be considered from the economic point of view the most serious disease in the gender Musa. At present the use of new biotechnological techniques applied to the study of the host-pathogen interation is glimpsed as an important tool ...
Mileidy Cruz-Martín +4 more
doaj
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
Biotecnología Vegetal, 2010 Although certain bacterial species may be in vitro antagonistic of Mycosphaerella fijiensis, as it was demonstrated, they are discrete results that have their effect on the Musa spp.-M. fijiensis interaction.
Mileidy Cruz-Martín +4 more
doaj
TechnologiesBanana (Musa spp.) crops face severe yield and economic losses due to foliar diseases such as Moko disease and Black Sigatoka. In Ecuador, Moko outbreaks have increasingly devastated banana plantations, threatening one of the country’s most important ...
Byron Oviedo +4 more
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Proposal of a weather-based prediction system for Yellow Sigatoka in Santa Catarina State, Brazil
Agropecuária CatarinenseBanana (Musa spp.) is one of the main fruits produced in Brazil, and its production is among the largest in the world. The Sigatoka disease complex is widely distributed across banana producing regions mainly comprising the fungi Pseudocercospora ...
Mauro Ferreira Bonfim Junior +4 more
doaj
Detection of Leaf Diseases in Banana Crops Using Deep Learning Techniques
AILeaf diseases, such as Black Sigatoka and Cordana, represent a growing threat to banana crops in Ecuador. These diseases spread rapidly, impacting both leaf and fruit quality. Early detection is crucial for effective control measures.
Nixon Jiménez +4 more
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INTEGRATED MANAGEMENT OF BLACK SIGATOKA IN PUERTO RICO
El plátano es el cultivo de mayor importancia en el municipio de Añasco donde más de la mitad de las fincas existentes lo cultivan (NASS, 2022). En Puerto Rico es el segundo cultivo que más aporta al ingreso bruto agrícola con 56.3 millones de dólares (NASS, 2022).
Almodovar, Wanda +2 more
openaire +2 more sources