Farming System and Nematodes Affect the Rhizosphere Microbiome of Tropical Banana Plants
Environmental Microbiology Reports, Volume 17, Issue 4, August 2025.The banana crops showed a core microbiome of 77 ASV, mostly belonging to Proteobacteria, Actinobacteria, and Bacilli. Specific groups of bacteria and fungi were linked to each nematode species or feeding group, with a core microbiome of correlated taxa found only when considering nematodes by feeding groups.
Mariantonietta Colagiero +4 more
wiley +1 more source
Detection of foliar diseases using image processing techniques
Revista CeresThis paper presents the development of a methodology to detect the percentage of affected area of Phytophthora infestans disease in tomato plants, using digital image processing techniques to extract the regions of interest with color analysis, where the
Leidy Esperanza Pamplona Beron +2 more
doaj +1 more source
Development of plant epidemiological surveillance networks, data exchanges and joint response strategies in the Caribbean: the french experience [PDF]
, 2009 Plant pests and pathogens have the potential to emerge and spread rapidly, cause severe losses and threaten food security worldwide. Such a threat is increased by the rise of commercial exchanges of germplasm and fresh produce and by global warming. This
Abadie, Catherine +2 more
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Improving plantain (Musa spp. AAB) yields on smallholder farms in West and Central Africa [PDF]
, 2016 Plantain is an important staple in West and Central Africa, where it is predominantly grown by smallholder farmers. On-farm data are rare but yields are considered to be low.
Hauser, S., Norgrove, L.
core +1 more source
DBA‐DeepLab: Dual‐Backbone Attention‐Enhanced DeepLab V3+ Model for Plant Disease Segmentation
Food Science &Nutrition, Volume 13, Issue 7, July 2025.This study introduces DBA‐DeepLab, a novel plant disease segmentation model that integrates dual backbones—ResNet‐50 and EfficientNet‐B3—with a Convolutional Block Attention Module (CBAM) and Sobel filtering for enhanced accuracy. Trained on the PlantDoc dataset, the model achieves superior performance metrics, including 99.35% accuracy and 100% recall,
Neha Sharma +6 more
wiley +1 more source
DronesThis paper presents an evaluation of different convolutional neural network (CNN) architectures using false-colour images obtained by multispectral sensors on drones for the detection of Black Sigatoka in banana crops.
Rafael Linero-Ramos +4 more
doaj +1 more source
Nanaga Site of Wasavulu (Labasa, Fiji): Mapping of a Traditional Religious Site of Vanua Levu
Archaeology in Oceania, Volume 60, Issue 1, Page 63-70, April 2025.ABSTRACT Pre‐Christian religious sites of the Fijian Archipelago have been seldom studied and even less often mapped by archaeologists. This is especially the case for the enigmatic Nanaga enclosures, whose functioning has remained poorly documented by the first ethnographers of the 19th century.
Christophe Sand +5 more
wiley +1 more source
Black Sigatoka disease: new technologies to strengthen eradication strategies in Australia [PDF]
Australasian Plant Pathology, 2006 In 2001, an incursion of Mycosphaerella fijiensis, the causal agent of black Sigatoka, was detected in Australia’s largest commercial banana growing region, the Tully Banana Production Area in North Queensland. An intensive surveillance and eradication campaign was undertaken which resulted in the reinstatement of the disease-free status for black ...
Henderson, J. +8 more
openaire +2 more sources
Genetic Improvement of Banana for Resistance to Xanthomonas Wilt in East Africa
Food and Energy Security, Volume 14, Issue 1, January/February 2025.ABSTRACT Banana (Musa spp.) is a staple food and income generation crop, feeding millions worldwide. However, the cultivation of bananas is challenging due to biotic and abiotic production constraints. Among these factors are pests and diseases, especially banana bacterial disease.
Anastasie Musabyemungu +5 more
wiley +1 more source
Construction of a genetic linkage map of the banana fungal pathogen, Mycosphaerella fijiensis, causal agent of Black Sigatoka disease [PDF]
, 2008 The haploid, hemibiotrophic ascomycete fungus Mycosphaerella fijiensis (Morelet) is the causal agent of black Sigatoka, the most economically important disease of banana (Musa spp.). A genetic linkage map of M.
Carlier, Jean +6 more
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