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10 articles for “Bacterial spot Disease”
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CNN-based Approach for Efficient Bell Pepper Leaf Disease Recognition
Abstract: Convolutional Neural Networks (CNNs) have achieved remarkable results in the detection of diseased plant leaves, providing highly accurate predictions. This project offers a comprehensive examination of existing systems designed for the detection of plant-based diseases. Using CNN trained on a dataset of bell pepper plant images, various simulation approaches for neurons and layers were employed. Plant diseases have significant impacts on agricultural productivity, leading to economic losses, reduced crop quality, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 16–22 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article
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L-glutaminase of Vibrio sp. from White-Spot Virus disease out-broken shrimp pond
Abstract: Bacteria from White Spot Viral (WSV) disease out-broken shrimp (Penaeus monodon) pond sediments located in the bank of Vellar estuary, South east coast of India were enumerated, enriched, screened by plate assay and confirmed as Vibrio sp. through biochemical tests. Extracellular L-glutaminase was eluted from Vibrio sp. by centrifugation and purified by downstream process. The final yield was 1.7% with 15.4 IU mg-1 of specific activities, which was 17.2 fold …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 1, Issue 1, 2011 · pp. 22–27 Read article
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Visual Features based Paddy Leaf Disease Recognition, its Severity Detection and Remedy Prediction using K-means Clustering and AdaBoost
Abstract: AbstractAgriculture is a vital part of an economy. Paddy is one of the main food crops which play a major role in agricultural field. The gross national income of a country depends on paddy cultivation. But the production of paddy is damaged due to different types of paddy leaf diseases. Generally, farmers and agricultural experts identify diseases manually which is very ineffective and time consuming. So effective recognition, severity detection, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 41–52 Read article
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Assessment of Pre and Post Harvest Handling Practices of Mango Fruit in Arba Minch, Southern Ethiopia
Abstract: Postharvest losses of mango fruits cause huge economic, food and nutritive losses in developing countries. One of the major causes of such losses is poor postharvest handling practices. Observationally study was conducted to assess the awareness of the farmers about the pre and postharvest handling practices causing postharvest loss of mango fruit. From the Arba Minch Zuria Woreda, two administrative Kebeles viz. ‘Chano’ and ‘Lante’ were purposively selected. 80 respondents …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 10, Issue 2, 2021 · pp. 1–11 Read article
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Utilizing Machine Learning to Combat Plant Disease
Abstract: Plant diseases are a significant source of lost income and time for the agricultural industry. Accurately diagnosing an illness requires a high level of experience and dedication. Symptoms of plant diseases, such as spots or streaks of a different colour, are sometimes visible on the leaves of infected plants. Many fungal, bacterial, and viral organisms may also cause illness in plants. The indications and symptoms of a plant disease are …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 20–28 Read article
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Identification of Potato Plant Leaf Disease Using Different Artificial Intelligence (AI) Techniques: A Review
Abstract: One of the nation's most vital industries is agriculture. Employment possibilities are abundant in emerging nations like India. The livelihoods of nearly 70% of the global population depend on agriculture. In this study, we have evaluatednumerous articles that have been released on potato plant leaf disease (PLD)diagnosis and classification utilising machine learning (ML)or Deep Learning (DL)methods. There are several causes of leaf diseases in plants, including bacteria, viruses, fungus, and …
Published in Journal of Open Source Developments · Vol. 10, Issue 3, 2023 · pp. 7–19 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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Automated Brinjal Leaf Disease Detection Using Machine Learning: A Sri Lankan Study
Abstract: The spread of plant diseases has a significant negative impact on agricultural output quality and yield, resulting in significant economic losses. Plant disease automation in agricultural science is our country's main concern due to the economic crisis and the emphasis on organic farming practices. Furthermore, the accuracy and efficiency of recognizing sick leaves have increased due to the expanding usage of smart technology. This study uses machine learning and image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 41–56 Read article
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Oral Eruption Associated With Cefuroxime Axetil: An Unusual Complication
Abstract: Cefuroxime Axetil is an oral cephalosporin class of antibiotic having broader gram negative activity and used in infective conditions caused by facultative bacteria and anaerobes such as respiratory tract infection, intra-abdominal infection, pelvic inflammatory disease and diabetic foot infection etc. Severe oral eruption associated with swelling on lips and mucosal erythemas are not described previously as ADR due to Cefuroxime. Here, we report a case of severe oral eruption induced …
Published in Research and Reviews: A Journal of Health Professions · Vol. 5, Issue 3, 2015 · pp. 16–18 Read article