Management of Prevalent Diseases of Cucumber (Cucumis sativus)  through Integrated Approach

Daunde, A. T.; Baghele, R. D.; Khandare, V. S.

doi:10.20546/ijcmas.2020.907.355

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…According to estimations from FAO, about 613 thousand tons of cucumber and gherkins are being produced from approximately twenty-seven thousand hectares in Egypt of which eleven thousand tons were exported in 2020 (FAOSTAT, 2020). Cucumber is exposed to a variety of diseases such as powdery mildew, downy mildew which reduce yields (Yousuf and Dar, T 2016; Punja, 2019 andDaunde et al, 2020). The deteriorating effects of climate change pose a challenge to agriculture transition.…”

Section: Introductionmentioning

confidence: 99%

“…It can remain viable for 7-8 days (Verhaar 1998 andSharma et al, 2016). The symptoms appear as a white circular powdery patch emerges on the upper and lower surfaces of infected leaves and stems (Pawar et al, 2016;Bandamaravuri et al, 2020 andDaunde et al, 2020). The disease develops at temperature of 27-35°C with a relative humidity of more than 70%.…”

Section: Introductionmentioning

confidence: 99%

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Detecting Mildew Diseases in Cucumber Using Image Processing Technique

Eldesoky¹,

Omran

El-Nabi

2023

Misr Journal of Agricultural Engineering

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In Egypt, Cucumber is a crucial cash crop, and its farming could significantly benefit the country's agriculture-based economy. Meanwhile plant disease detection manually is costly and time consuming. This study aims to improve early identification of downy and powdery mildew diseases using machine vision by comparing the effectiveness of several detection methods and developing a real life application. This approach will involve five steps including: image acquisition, pre-processing, feature extraction, post-processing, and classification. In which the experiment was conducted on two greenhouses where 931 images were obtained and used with five key features to train and evaluate the proposed methods. The classification performance of three machine learning algorithms, named discriminant analysis (DA), support vector machine (SVM) and K-nearest neighbors (KNN), were compared. The results indicated that the fine gaussian SVM achieved the highest classification accuracy rate of 96%, where fine KNN got 95.8%, and quadratic DA obtained the lowest value 92.8%. Additionally, the suggested method has a practical application that enables automatic mildew disease detection via personal computers, eliminating the need for sample collection and laboratory analysis. This method could also be extended to identify other plant diseases and pests and track disease progression as the study moves forward.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detecting Mildew Diseases in Cucumber Using Image Processing Technique

Eldesoky¹,

Omran

El-Nabi

2023

Misr Journal of Agricultural Engineering

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“…Several fungi attack seedlings of cucumber, causing appreciable losses, especially under favourable environmental conditions [14]. In Africa, many pathogenic fungi such as Alternaria tenuis, Alternaria alternata, Fusarium equisett, Fusarium solani, Aspergillus spp., Phytophthora capsici, Penicillium oxalicum, Bipolaris spp., Botrytis cinerea, Cladosporium tenuissimum, among others, have been associated with rotting of cucumber fruits [15], causing reasonably high post-harvest losses [16,17].…”

Section: Introductionmentioning

confidence: 99%

Current and Emerging Pests and Diseases of Cucumber (Cucumis sativus L.) in Africa

Arogundade¹,

Ajose²,

Matthew³

et al. 2021

Cucumber Economic Values and Its Cultivation and Breeding

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The place of cucumber (Cucumis sativus L.) in Africa was considered insignificant for years due to its previously assumed limited uses. However, it has now gained recognition as one of the important market vegetables in the tropics because of the continued awareness of the numerous health benefits attached to its consumption. This has progressively affected its cultivation and thereby, increased outbreak of diseases and insect pests of the crop. High incidence of insect and disease infestations occur in Cucumis sativus L. due to extreme temperatures, heavy rainfall and high humid condition resulting there from, causing huge losses through reduction in yield, lowered quality of harvested produce and increased cost of production. More than 30 pests and diseases are known to contribute to the losses recorded on the crop in Africa, some of which will be discussed in this chapter.

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Influence of Nutrition Media and Temperature on the Growth and Development of the Fusarium Oxysporum F. Sp. Cucumerinum Owen – The Causative Agent of Fusarium Wilt of Cucumber

Pikovskyi,

Markovska,

Dudchenko

et al. 2023

Naukovì dopovìdì Nacìonalʹnogo unìversitetu bìoresursìv ì priro

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Fusarium wilt of cucumber is a dangerous disease that causes significant crop losses. The development of effective disease control measures is based on a comprehensive understanding of the ecology of the causative agent of the disease – the fungus Fusarium oxysporum f. sp. cucumerinum Owen, which has not been sufficiently studied under the conditions of Ukraine. The purpose of the work is to study the influence of nutrient media and temperature conditions on the growth and development of the in vitro fungus F. oxysporum f. sp. cucumerinum. The research was carried out according to the methods generally accepted in phytopathology and mycology, in the problem research laboratory "Mycology and Phytopathology" of the Department of Phytopathology of the National University of Life and Environmental Sciences of Ukraine. It was established that the substrate and temperature factors influenced the vegetative growth and sporulation of F. oxysporum f. sp. cucumerinum. The maximum rate of mycelial growth of the fungus was observed on potato-glucose and potato-carrot agar. The most intensive sporulation of the pathogen was noted on potato-glucose agar – 8.3 million pcs./cm2, which is 4.79-6.98 million pcs./cm2 more compared to other investigated media. Optimum for vegetative growth of F. oxysporum f. sp. cucumerinum temperature was 30 °C. The most intensive sporulation of the pathogen occurred at a temperature of 25 °C and amounted to 9.66 million units/cm2. The results of research by various authors indicate the variability of ecological features of the fungus F. oxysporum f. sp. cucumerinum, which indicates the expediency of studying pathogens isolated in the conditions of a specific region and agricultural culture. The obtained results of the ecological features of the fungus can be used to develop an artificial infectious background.

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Management of Prevalent Diseases of Cucumber (Cucumis sativus) through Integrated Approach

Cited by 3 publications

References 11 publications

Detecting Mildew Diseases in Cucumber Using Image Processing Technique

Detecting Mildew Diseases in Cucumber Using Image Processing Technique

Current and Emerging Pests and Diseases of Cucumber (Cucumis sativus L.) in Africa

Influence of Nutrition Media and Temperature on the Growth and Development of the Fusarium Oxysporum F. Sp. Cucumerinum Owen – The Causative Agent of Fusarium Wilt of Cucumber

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