Results 81 to 90 of about 4,003 (207)

Distribuição e impacto da sigatoka-negra na bananicultura do Estado do Acre. [PDF]

, 2019
A sigatoka-negra (Mycosphaerella fijiensis) é a doença de maior severidade que afeta as cultivares de banana (Musa spp.) de importância econômica no mundo. Foi constatada no Brasil em 1998, no Estado do Amazonas, e tem se disseminado pelo Estado do Acre,
CAVALCANTE, M. de J. B., CORDEIRO, Z. J. M., GOMES, F. C. da R., GONDIM, T. M. de S., HESSEL, J. L., SÁ, C. P. de   +5 more
core   +1 more source

Inheritance of black sigatoka disease resistance in plantain-banana (Musa spp.) hybrids

Theoretical and Applied Genetics, 1994
Black sigatoka (Mycosphaerella fijiensis Morelet), an airborne fungal leaf-spot disease, is a major constraint to plantain and banana (Musa spp.) production world-wide. Gaining further knowledge of the genetics of host-plant resistance will enhance the development of resistant cultivars, which is considered to be the most appropriate means to achieve ...
Ortiz, R., Vuylsteke, D.R.
openaire   +2 more sources

Deep Learning and IoT Fusion for Crop Health Monitoring: A High‐Accuracy, Edge‐Optimised Model for Smart Farming

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, Edwin Juma Omol, Vincent Omollo Nyangaresi   +2 more
wiley   +1 more source

Use of the aniline blue-KOH staining in the study of the banana-Mycosphaerella fijiensis Morelet interaction

Biotecnología Vegetal, 2005
The analysis of the first stages of the infection process with the fungus Mycosphaerella fijiensis Morelet was made beginning with the inoculation of young banana plants obtained from in vitro culture.
Milady Mendoza-Rodríguez, Elio Jiménez, Frank Maier, Whilhelm Shäfer, Michel Leiva-Mora, Mayra Acosta-Suárez, Yelenys Alvarado-Capó   +6 more
doaj  

Image‐based crop disease detection using machine learning

Plant Pathology, Volume 74, Issue 1, Page 18-38, January 2025.
Image‐based crop disease detection using machine learning provides a faster, more accurate alternative to traditional methods, with advancements in AI and imaging platforms expanding its effectiveness. Abstract Crop disease detection is important due to its significant impact on agricultural productivity and global food security.
Aria Dolatabadian, Ting Xiang Neik, Monica F. Danilevicz, Shriprabha R. Upadhyaya, Jacqueline Batley, David Edwards   +5 more
wiley   +1 more source

Bacterial strains diversity in Musa spp. phyllosphere with antifungal activity against Mycosphaerella fijiensis Morelet

Biotecnología Vegetal, 2016
The search for alternatives to agricultural pesticides used for the management of black Sigatoka (Mycosphaerella fijiensis Morelet) includes the selection of microorganisms strains with potential for the control of this pathogen.
Mileidy Cruz-Martín, Mayra Acosta-Suárez, Berkis Roque, Tatiana Pichardo, Rosa Castro Castro, Yelenys Alvarado-Capó   +5 more
doaj  

The Potential Role of Precision Agriculture in Enhancing Sustainable Agriculture in Tanzania

Advances in Agriculture, Volume 2025, Issue 1, 2025.
Precision agriculture (PA) plays a crucial role in minimizing the utilization of resources to increase crop yield and reduce environmental impact while enhancing sustainable agriculture (SA). In Tanzania, agriculture contributes about 28% to the gross domestic product (GDP), and more than 65% of the population depends on it.
Joseph Innocent Massawe, Gideon Sadikiel Mmbando, Mirza Hasanuzzaman   +2 more
wiley   +1 more source

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, Liu, Shuang, Edwards, Jacqueline, Villalta, Oscar N., Aurambout, Jean-Philippe, Kriticos, Darren, Drenth, Andre, De Barro, Paul   +7 more
openaire   +2 more sources

Mobile-Based convolutional neural network model for the early identification of banana diseases

Smart Agricultural Technology
This 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

Comparative Genomics of the Sigatoka Disease Complex on Banana Suggests a Link between Parallel Evolutionary Changes in Pseudocercospora fijiensis and Pseudocercospora eumusae and Increased Virulence on the Banana Host.

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, Anthony Salvucci, Pedro W Crous, Ioannis Stergiopoulos   +3 more
doaj   +1 more source