1,720,954 research outputs found
Detecting tomato leaf diseases with convolutional neural networks and image processing using a Sri Lankan tomato leaf dataset
Crops like tomatoes are vital to farmers' livelihoods in Sri Lanka, where agriculture is a key economic pillar. But growing tomatoes comes with a lot of difficulties, not the least of which is the possibility of certain diseases that can destroy crops. The timely implementation of interventions and reduction of losses are contingent upon the early discovery of these disorders. Using convolutional neural networks (CNNs) and image processing techniques, this study offers a novel solution to this problem by detecting tomato leaf illnesses. One unique aspect of this study is the use of a custom dataset made up of photos of Sri Lankan tomato leaves from several farms in Embilipitiya, Suriyawewa an area noted for being susceptible to several tomato illnesses. The dataset includes a variety of disease categories that are common in the local agricultural setting, such as tomato early blight, tomato Septoria leaf spot, tomato curl, and tomato leaf minor. The quality of the dataset is improved using pre-processing methods including segmentation and picture enhancement. The dataset is then used to train a CNN architecture for the purpose of classifying diseases. The efficiency of the suggested method is demonstrated by the experimental findings, which show that it can accurately identify and classify tomato leaf diseases. The system that has been built provides an automated and effective tool for early disease diagnosis, which facilitates timely intervention and efficient management approaches. Utilising a localised dataset improves the system's resilience and adaptability, which makes it ideal for implementation in Sri Lankan tomato farms
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Current Status and Prospects of Orchid Crop in Sri Lankan Floriculture - Review
Sri Lanka has become one of the hot spots for quality floricultural products in South Asia. As floricultural products, Sri Lanka exports ornamental foliage plants, cut decorative foliage, cut flowers, aquarium plants, landscaping plants, flowers seeds and tissue culture plants. In the current floricultural market in Sri Lanka
Orchid has been established well as a cut flower and potted plant. Dendrobium, Phalanopsis, Cattlya and Vanda are the most popular orchid genera in family Orchidaceae. Vanilla belongs to Orchid genera and is well-known ingredient in the food industry. Orchids have been used in Chinese and Japanese medicinal treatments since ancient times. Medicinal properties of orchids include antiinflammatory, antiviral, neuroprotective, wound healing and other valuable properties. Secondary metabolites which are known as phytochemicals leads to create these properties in orchids. Orchid cultivation in Sri Lanka can be developed
by introducing new technologies such as gene transformation, biotechnology etc. methods. Developments in infrastructural facilities also contribute to uplift the industry in the future. This article focused on the status of orchid cultivation in the
current floricultural industry in Sri Lanka
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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