Banana Pathology and Diseases

Pollo, Andressa de Souza; Goes, António de

doi:10.1002/9781119528265.ch3

Cited by 5 publications

(3 citation statements)

References 41 publications

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“…Banana plants experience different biotic and abiotic stresses through their production cycle that significantly hampers their overall productivity ( Li et al., 2021 ; Wang et al., 2021 ). Among biotic factors, the major diseases that are causing serious concerns and losses to banana yield currently include black Sigatoka, Fusarium wilt tropical race 4 (TR4), banana Xanthomonas wilt (BXW), and banana bunchy top disease ( De souza-pollo and de Goes , 2020 ). Among these, Fusarium wilt (Panama disease) caused by Fusarium oxysproum f. sp.…”

Section: Genetic Transformation Of Bananamentioning

confidence: 99%

Biotechnological interventions in banana: current knowledge and future prospects

Justine

Kaur

Savita

et al. 2022

Heliyon

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Section: Genetic Transformation Of Bananamentioning

confidence: 99%

Biotechnological interventions in banana: current knowledge and future prospects

Justine

Kaur

Savita

et al. 2022

Heliyon

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“…These diseases, which can be caused by fungi, bacteria, viruses, and other pathogens, cause significant losses. Inadequate postharvest management techniques, − pest infestations, and diseases can compromise 30–40% of crop production. , Thus, the mango fruit processing industry suffers from inadequate fruit supply due to a lack of quality and quantity of mango.…”

Section: Introductionmentioning

confidence: 99%

Development of a Robust CNN Model for Mango Leaf Disease Detection and Classification: A Precision Agriculture Approach

Pathak,

Saikia,

Dutta

et al. 2024

ACS Agric. Sci. Technol.

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In recent years, convolutional neural network (CNN) models and deep learning techniques have gained significant attention for plant disease detection. Despite advances, achieving high accuracy across diverse classes remains challenging. Existing CNN models have demonstrated moderate accuracy in classifying a limited number of mango leaf diseases. So, a crucial necessity exists to broaden the scope of precision. Our investigation introduces a CNN model that achieves an impressive 99% accuracy across eight classes of mango leaf diseases. Using advanced data processing, image augmentation, and feature extraction methodologies rooted in artificial intelligence and deep learning, we systematically explored over 20 CNN architectures and various hyperparameters to develop a robust model. Given the global significance of mango cultivation, our model was rigorously trained and tested for reliability. Detailed results and materials are available on GitHub. Additionally, we integrated our CNN model into an Android app, "Mango-SCN", designed for easy use in managing mango leaf diseases, accessible even to nonexperts.

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“…Chemical control by spraying fungicides is the principal strategy for disease management in Musa spp. [4]. However, the excessive use of chemical fungicides has had negative effects on the environment and human health; therefore, research in this field is currently directed toward the search for effective alternatives for the control of phytopathogens [5].…”

Section: Introductionmentioning

confidence: 99%

Coconut Mesocarp Extracts to Control Fusarium musae, the Causal Agent of Banana Fruit and Crown Rot

Morelia-Jiménez,

Montaño-Leyva,

Blancas-Benitez

et al. 2023

AgriEngineering

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Crown rot, caused by Fusarium species, is the most devastating postharvest disease in bananas. Fungicides are traditionally applied as a postharvest treatment to control crown rot in bananas. However, there is a need to research environmentally friendly compounds as postharvest treatments instead of chemical fungicides. The phenolic compounds gallic acid, protocatechuic acid, and chlorogenic acid were identified in coconut mesocarp extract. Overall, the treatments were more efficient in crown-based than fruit-based culture mediums. The mycelial development was inhibited in a range from 20 to 26% (applying coconut mesocarp extract at 5%) compared to the control. Sporulation and spore germination were significantly inhibited, with a reduction of 88% in spore production and 91% in spore germination inhibition compared to the control. In in vivo tests, the aqueous extracts were effective by limiting the percentage of infected fruit, crown rot, and fruit severity. The use of coconut mesocarp extracts can be an effective and environmentally friendly alternative to the use of fungicides for controlling Fusarium musae on bananas.

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Banana Pathology and Diseases

Cited by 5 publications

References 41 publications

Biotechnological interventions in banana: current knowledge and future prospects

Biotechnological interventions in banana: current knowledge and future prospects

Development of a Robust CNN Model for Mango Leaf Disease Detection and Classification: A Precision Agriculture Approach

Coconut Mesocarp Extracts to Control Fusarium musae, the Causal Agent of Banana Fruit and Crown Rot

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