An Optimum Tea Fermentation Detection Model Based on Deep Convolutional Neural Networks

Kimutai, Gibson; Ngenzi, Alexander; Said, Rutabayiro Ngoga; Kiprop, Ambrose; Förster, Anna

doi:10.3390/data5020044

Cited by 20 publications

(12 citation statements)

References 132 publications

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“…FP represents false positive; i.e., the number of negative samples which are classifed incorrectly as positive ones. FN represents false negative; i.e., the number of positive samples which are classifed incorrectly as negative ones [27].…”

Section: Evaluation Metrics and Parametersmentioning

confidence: 99%

Using Machine Learning Approaches for Food Quality Detection

Han

et al. 2022

Mathematical Problems in Engineering

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Food quality detection is an important method for ensuring food safety. Efficient quality detection methods can improve the efficiency of food circulation and reduce storage and labor costs. Traditional methods use instrumentation, testing reagents, or manual labor. These methods take a long time to detect, are time-consuming and labor-intensive, and require professionals to operate. Fruit, as a high-value food that provides essential nutrition for human beings, is susceptible to spoilage during packaging, transportation, and sales, so the freshness and safety assurance of fruit are a hot and difficult area of current research. Therefore, for the detection of fruit freshness, this paper proposes an efficient and nondestructive way to detect fruit freshness by using the machine learning algorithm convolutional neural network (CNN). This paper shows that convolutional neural networks have good performance in identifying the freshness of fruits through extensive experimental results and discusses the overfitting of machine learning based on the experimental results.

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Section: Evaluation Metrics and Parametersmentioning

confidence: 99%

Using Machine Learning Approaches for Food Quality Detection

Han

et al. 2022

Mathematical Problems in Engineering

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“…These top tea-producing countries produce several varieties of tea, which include: yellow tea, illex tea, oolong tea, black tea, white tea, among others [3]. Among these categories of tea, black tea is the most consumed, accounting for approximately 78% of the total daily consumption of tea [4]. Kenya is the leading exporter of black tea worldwide, with her major tea-producing counties being Kericho, Bomet, Nandi, and Nyeri [5].…”

Section: Background and Rationalementioning

confidence: 99%

A Data Descriptor for Black Tea Fermentation Dataset

Kimutai

Ngenzi

Said

et al. 2021

Data

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Tea is currently the most popular beverage after water. Tea contributes to the livelihood of more than 10 million people globally. There are several categories of tea, but black tea is the most popular, accounting for about 78% of total tea consumption. Processing of black tea involves the following steps: plucking, withering, crushing, tearing and curling, fermentation, drying, sorting, and packaging. Fermentation is the most important step in determining the final quality of the processed tea. Fermentation is a time-bound process and it must take place under certain temperature and humidity conditions. During fermentation, tea color changes from green to coppery brown to signify the attainment of optimum fermentation levels. These parameters are currently manually monitored. At present, there is only one existing dataset on tea fermentation images. This study makes a tea fermentation dataset available, composed of tea fermentation conditions and tea fermentation images.

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“…I would argue that this event also succeeded in its aim of 'bursting the bubble' and reaching beyond Kwani Trust's established literary community to a wider middle-class and student public. In interviews both the organisers and audience-members repeatedly emphasised this event as not only attracting a broader arts and media community not usually seen at 'literary' events but the audience having the feel of that of a 'music festival' or 'concert' (Amuke 2018;Kahora 2018;Kimutai 2018;Mburu 2018;Muthee 2018;Wachuka 2018). Wachuka in particular described how this event shifted Kwani Trust's relationship with public space, and that following this staging book launches in unusual venuesfrom a car garage to the KICC 10 Helipadbecame a Kwani?…”

Section: Publishers' Network and African Literary Productionmentioning

confidence: 99%

Routledge Handbook of African Literature

Adejunmobi¹,

Coetzee

2019

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The turn of the twenty-first century has witnessed an expansion of critical approaches to African literature. The Routledge Handbook of African Literature is a one-stop publication bringing together studies of African literary texts that embody an array of newer approaches applied to a wide range of works. This includes frameworks derived from food studies, utopian studies, network theory, eco-criticism, and examinations of the human/animal interface alongside more familiar discussions of postcolonial politics.The handbook is divided into seven parts: i) Mapping political agencies, ii) Journeys, geographies, identities, iii) Working through genre, iv) The world of and beyond humans, v) Everyday sociality, vi) Bodies, subjectivities, affect, vii) Literary networks. In each, contributors address the themes of the section from a variety of perspectives in conjunction with analysis of different literary texts. All chapters are original research essays written by a broad spectrum of scholars with expertise in the subject, providing an application of the most recent insights into analysis of particular topics or application of particular critical frameworks to one or more African literary works.The handbook will be a valuable interdisciplinary resource for scholars and students of African literature, African culture, postcolonial literature and literary analysis.

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An Optimum Tea Fermentation Detection Model Based on Deep Convolutional Neural Networks

Cited by 20 publications

References 132 publications

Using Machine Learning Approaches for Food Quality Detection

Using Machine Learning Approaches for Food Quality Detection

A Data Descriptor for Black Tea Fermentation Dataset

Routledge Handbook of African Literature

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