Results 11 to 20 of about 4,003 (207)

Biological control of banana black Sigatoka disease with Trichoderma [PDF]

open access: yesCiência Rural, 2015
Black Sigatoka disease caused by Mycosphaerella fijiensis is the most severe banana disease worldwide. The pathogen is in an invasive phase in Brazil and is already present in most States of the country.
Poholl Adan Sagratzki Cavero   +4 more
doaj   +3 more sources

Mathematical modelling of Banana Black Sigatoka Disease with delay and Seasonality

open access: yesApplied Mathematical Modelling, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Agouanet, Franklin Platini   +3 more
openaire   +4 more sources

Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method [PDF]

open access: yesSensors, 2019
Black Sigatoka is a disease that occurs in banana plantations worldwide. This disease is caused by the hemibiotrophic fungus Pseudocercospora fijiensis, whose infection results in a significant reduction in both product quality and yield.
Donato Luna-Moreno   +6 more
doaj   +2 more sources

Banana Leaves Imagery Dataset [PDF]

open access: yesScientific Data
In this work, we present a dataset of banana leaf imagery, both with and without diseases. The dataset consists of 11,767 images, categorized as follows: 3,339 healthy images, 3,496 images of leaves affected by Black Sigatoka and 4,932 images of leaves ...
Neema Mduma, Christian Elinisa
doaj   +2 more sources

Resistance to Triazoles in Populations of Mycosphaerella fijiensis and M. musicola from the Sigatoka Disease Complex from Commercial Banana Plantations in Minas Gerais and São Paulo, Brazil [PDF]

open access: yesMicroorganisms
The sterol demethylation inhibitors (DMIs) are among the most widely used fungicides for controlling black Sigatoka (Mycosphaerella fijiensis) and yellow Sigatoka (Mycosphaerella musicola) in banana plantations in Brazil.
Abimael Gomes da Silva   +11 more
doaj   +2 more sources

Mobile application for the detection of black Sigatoka

open access: yesVisión Electrónica, 2020
Black Sigatoka is one of the main problems that affect the quality and production of the banana crop, it´s because of this, the development of systems to detect diseases, generate an important tool for the monitoring and control carried out by the farmer.
Yurley Tatiana Tovar-Martínez   +2 more
doaj   +3 more sources

Climate and the Global Spread and Impact of Bananas’ Black Leaf Sigatoka Disease

open access: yesAtmosphere, 2020
While Black Sigatoka Leaf Disease (Mycosphaerella fijiensis) has arguably been the most important pathogen affecting the banana industry over the past 50 years, there are no quantitative estimates of what risk factors determine its spread across the ...
Eric Strobl, Preeya Mohan
doaj   +3 more sources

PSFD-Musa: A dataset of banana plant, stem, fruit, leaf, and disease [PDF]

open access: yesData in Brief, 2022
In recent times, the classification and identification of different fruits and food crops have become a necessity in the field of agricultural science; for sustainable growth.
Epsita Medhi, Nabamita Deb
doaj   +2 more sources

Plantio adensado não controla a sigatoka-negra da bananeira Dense plantation do not control banana black-sigatoka

open access: yesActa Amazonica, 2008
Algumas publicações relatam que o adensamento populacional dos bananais reduz a severidade da sigatoka-negra (Mycosphaerella fijiensis). Instalou-se um ensaio com cinco tratamentos e quatro repetições.
Luadir Gasparotto   +3 more
doaj   +2 more sources

Black Sigatoka Classification Using Convolutional Neural Networks [PDF]

open access: yesInternational Journal of Machine Learning and Computing, 2021
In this paper we present a methodology for the automatic recognition of black Sigatoka in commercial banana crops. This method uses a LeNet convolutional neural network to detect the progress of infection by the disease in different regions of a leaf image; using this information, we trained a decision tree in order to classify the level of infection ...
Cristian A. Escudero   +2 more
openaire   +1 more source

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