Singlet molecular oxygen generation by light-activated DHN-melanin of the fungal pathogen Mycosphaerella fijiensis in black Sigatoka disease of bananas. [PDF]
Beltrán-García MJ +8 more
europepmc +1 more source
Various enviromental factors influence the black sigatoka severity on the bananas resistant hybrids
An epidemiological survey was carried out to understand the effect of environmental factors on the resistance of bananas hydrids against Black Sigatoka. A low level of resistance was measured on FHIA-21 in Dominican Republic, whereas in Cuba is loss the ...
Lescot, Thierry +5 more
core
TM3x: Triploid Black Sigatoka—Resistant Musa Hybrid Germplasm [PDF]
Ortiz, R. +3 more
openaire +1 more source
Black Sigatoka Classification Using Convolutional Neural Networks
openaire +1 more source
Banana Plant Disease Classification Using Hybrid Convolutional Neural Network. [PDF]
Narayanan KL +6 more
europepmc +1 more source
Attention enhanced hybrid deep learning architecture with PCA-based feature fusion for banana leaf disease detection. [PDF]
Du H, Yang H, Zhang Z, Wang J.
europepmc +1 more source
Occurrence of Nigrospora spp. as the predominant causal agents of leaf spot disease in Cavendish banana in banana plantations in Mindanao Island, Philippines. [PDF]
Nozawa S +8 more
europepmc +1 more source
Infection by Pseudocercospora musae leads to an early reprogramming of the Musa paradisiaca defense transcriptome. [PDF]
Borah S, Bora D, Bhorali P.
europepmc +1 more source
Lightweight vision transformer and ResNet-9 models for real-time plant disease detection and pest classification with SHAP explainability. [PDF]
Shafik W +3 more
europepmc +1 more source
Black Sigatoka, caused by the fungus P. fijiensis, is the most severe disease that affects bananas (Musa spp). Research has projected increases in disease severity in response to climate change and variability, highlighting the need to analyze the ...
Torres Ustate, Luis Miguel +2 more
core

