scholarly journals Efficient Commercial Classification of Agricultural Products using Convolutional Neural Networks

2021 ◽  
Vol 10 (4) ◽  
pp. 353
Author(s):  
Ali Jebelli ◽  
Rafiq Ahmad
Keyword(s):  
Detection System ◽  
High Accuracy ◽  
Agricultural Products ◽  
The Other ◽  
Internet Connection ◽  
Product Image ◽  
Short Time ◽  
Speed And Accuracy ◽  
Chemical Materials

<p>Agricultural products, as essential commodities, are among the most sought-for items in superstores. Barcode is usually utilized to classify and regulate the price of products such as ornamental flowers in such stores. However, the use of barcodes on some fragile agricultural products such as ornamental flowers can be damaged and lessen their life length. Moreover, it is time-consuming and costly<em><strong> </strong></em>and may lead to the production of massive waste and damage to the environment and the admittance of chemical materials into food products that can affect human health. Consequently, we aimed to design a classifier robot to recognize ornamental flowers based on the related product image at different times and surrounding conditions. Besides, it can increase the speed and accuracy of distinguishing and classifying the products, lower the pricing time, and increase the lifetime due to the absence of the need for movement and changing the position of the products. According to the datasheets provided by the robot that is stored in its database, we provide the possibility of identifying and introducing the product in different colors and shapes. Also, due to the preparation of a standard and small database tailored to the needs of the robot, the robot will be trained in a short time (less than five minutes) without the need for an Internet connection or a large hard drive for storage the data. On the other hand, by dividing each input photo into ten different sections, the system can, without the need for a detection system, simultaneously in several different images, decorative flowers in different conditions, angles and environments, even with other objects such as vases, detects very fast with a high accuracy of 97%.</p>

scholarly journals Luxatio lentis in dogs: a case report

2008 ◽  
Vol 52 (No. 5) ◽  
pp. 213-222
Author(s):  
M. Saroglu ◽  
O.D. Erdikmen ◽  
O. Guzel ◽  
D. Aydin
Keyword(s):  
Case Report ◽  
Small Animal ◽  
Intraocular Inflammation ◽  
The Other ◽  
Lens Extraction ◽  
Posterior Direction ◽  
Short Time ◽  
Anterior Direction ◽  
Lens Luxation

The material of the present study was composed of 30 eyes with luxatio lentis occurring in 20 dogs. Unilateral lens luxation was determined in a half of the animals while bilateral luxation was determined in the other half. Lenses in 19 of the 30 eyes were luxated in the anterior direction (63.3%), three were luxated in the posterior direction (10%) and eight were subluxated (26.6%). The distribution of patient dogs based on the breeds showed that the incidence of lens luxation was higher in Terrier, Cocker Spaniel and crossbreed dogs compared to the other breeds. The results of etiological classification of the diseases which are generally seen in older dogs (on average 7.2 years old) were as follows: congenital in two patients, primary luxation in four patients, and secondary luxation in 14 patients. Secondary luxations diagnosed in 14 animals were determined to have developed as a result of trauma in two dogs, glaucoma in one dog, uveitis in one dog, and senile degeneration and/or cataract in 10 dogs. Bilateral (two dogs) and unilateral (five dogs) intracapsullar lens extraction (ICLE) was applied to these animals. The primary disease was to be kept under control by treating those with secondary lens luxation for uveitis or glaucoma. A severe progressive intraocular inflammation developed in one patient. Enucleation was conducted on this patient due to buphthalmus developing in a short time. These results may be helpful to small animal veterinarians dealing with this disease which results in blindness unless early diagnosis and surgical treatment are conducted.

scholarly journals Size based research on orange quality and classification

2018 ◽  
Vol 25 (03) ◽  
pp. 144-152
Author(s):  
Wang He Xi Ge Tu ◽  
Bolormaa D
Keyword(s):  
Image Processing ◽  
Quality Control ◽  
Agricultural Production ◽  
Agricultural Products ◽  
The Other ◽  
Quality Classification ◽  
Orange Fruit ◽  
Actual Size ◽  
Fruit Diameter

Quality control and classification of agricultural products is an important component of agricultural production and sales. Use MATLAB 2010 software with image processing technology to create the quality classification of the oranges (diameter, perimeter, and field) based on the fruits. Prior to the quality classification, collecting orange tree images (taking photos from scratch), and then drawing a scratchy image. Comparing the ratio between the orange fruit diameter, perimeter, pixel and actual size, the fruit of the fruit is compared with the results of the Jeju Citrus Commission. The comparisons of these results indicate that the orange diametre pixels represent the actual amount of orange in terms of more accurate than the other two pixels (perimeter and area). This will be used for further research. Хэмжээнд тулгуурлан жүрж жимсний чанарын ангилалын судалгаа Хураангуй:  Хөдөө аж ахуйн бүтээгдэхүүний чанарын хяналт ба ангилал нь хөдөө аж ахуйн үйлдвэрлэх ба борлуулалтын чухал бүрэлдэхүүн хэсэг юм. Тус судалганы ажилд дижтал зураг боловсруулалтийн технологыг ашиглан MATLAB 2010 програм хангамж дээр жүрж жимсийн хэмжээнд суурилан (диаметр, периметр, талбай) чанарын ангилал хийб. Чанарын ангилал хийхээс өмнө жүрж жимсийн модны зураг цуглуулж (дүрбэн талаас журж модны зургийг авна), дахяд модны зурган урдчилэн дүрс боловсруулалт хинэ. Эцүсд жүрж жимсний диаметр, периметр, талбайин пиксел ба бодит хэмжээний хоорондох харьцааг тодорхойлон жимсйиг Jeju Citrus Commission жимсний хэмжээг судалсан үр дүнтай харьцуулэб. Эдгээр үр дүнгийн харьцуулалтаас харахад жүрж жимсний диаметрийн пиксел нь бусад хоёр пиксел (периметр ба талбай)-ээс илүү нарийвчлалтайгаар жүржйин бодит хэмжээг илэрхийлсэн байна. Үүнийг цаашдын судалгааны ажилдаа хэрэглэх болно. Түлхүүр үг: Дижитал дүрс боловсруулах, Хоёртын зураг, Шуугиан, Өнгөний орон зай, Зураг сигментчилэх

scholarly journals Some Results of Classification of Stars in Kapteyn Areas Applied to Galactic Structure in NGP

1977 ◽  
Vol 4 (2) ◽  
pp. 49-50 ◽  
Author(s):  
E. K. Kharadze ◽  
R. A. Bartaya
Keyword(s):  
Galactic Plane ◽  
High Accuracy ◽  
Galactic Structure ◽  
The Other ◽  
Two Dimensional ◽  
Other Hand ◽  
Objective Prism

The observational base of our investigation consists of a two-dimensional MK classification of about 11.000 stars in the 42 Kapteyn Areas situated along the gal.lat-s from −17° up to +72° and 200 Ap, Am stars discovered in the same KA. The dispersion of the applied objective-prism spectra is 160 Â per mm. The data are of high accuracy, close to the Michigan level, and uniformity, which make them reliable. The limit is close to the 12-th ph.mg.The general conclusion of the undoubted importance is stated: the galactic concentration of dwarfs is closer than it had been assumed until now; on the other hand - the giants are not so closely concentrated to the galactic plane as it has been accepted.

scholarly journals Conversion of adverse data corpus to shrewd output using sampling metrics

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Shahzad Ashraf ◽  
Sehrish Saleem ◽  
Tauqeer Ahmed ◽  
Zeeshan Aslam ◽  
Durr Muhammad
Keyword(s):  
Learning Algorithm ◽  
Class Imbalance ◽  
High Accuracy ◽  
The Other ◽  
Educational Context ◽  
Imbalanced Dataset ◽  
Minority Class ◽  
Confusion Matrices ◽  
F Measure

AbstractAn imbalanced dataset is commonly found in at least one class, which are typically exceeded by the other ones. A machine learning algorithm (classifier) trained with an imbalanced dataset predicts the majority class (frequently occurring) more than the other minority classes (rarely occurring). Training with an imbalanced dataset poses challenges for classifiers; however, applying suitable techniques for reducing class imbalance issues can enhance classifiers’ performance. In this study, we consider an imbalanced dataset from an educational context. Initially, we examine all shortcomings regarding the classification of an imbalanced dataset. Then, we apply data-level algorithms for class balancing and compare the performance of classifiers. The performance of the classifiers is measured using the underlying information in their confusion matrices, such as accuracy, precision, recall, and F measure. The results show that classification with an imbalanced dataset may produce high accuracy but low precision and recall for the minority class. The analysis confirms that undersampling and oversampling are effective for balancing datasets, but the latter dominates.

Consistency in Latency Measurements and Interpretation of ABR Tracings

1997 ◽  
Vol 6 (1) ◽  
pp. 57-62 ◽  
Author(s):  
Wayne O. Olsen ◽  
Terri L. Pratt ◽  
Christopher D. Bauch
Keyword(s):  
The Other

Multichannel ABR recordings for 30 otoneurologic patients were reviewed independently by three audiologists to assess interjudge consistency in determining absolute latencies and overall interpretation of ABR results. Four months later, the tracings were reviewed a second time to evaluate intrajudge consistency in interpretation of ABR waveforms. Interjudge agreement in marking latencies for waves I, III, and V within 0.2 ms was on the order of 90% or better. Intrajudge consistency was slightly higher. Only rarely did inter- or intrajudge differences in latency measurements exceed 0.3 ms. Agreement in overall interpretation of ABR results as "normal" or "abnormal" was unanimous for 90% of the patients. Across pairs of judges, the agreement for "normal" and "abnormal" classification of the ABR tracings was 97%. Intrajudge consistency for "normal" and "abnormal" categorization of the ABR results was 100% for one judge, 97% for the other two judges.

RHYNCHOLITES AND THE PROBLEM OF NARROW AND BROAD CONCEPTION OF TAXONS

2018 ◽  
pp. 12-17 ◽  
Author(s):  
I. R. Khuzina ◽  
V. N. Komarov
Keyword(s):  
Sexual Dimorphism ◽  
Morphological Characteristics ◽  
Mass Scale ◽  
Individual Variability ◽  
Point Of View ◽  
The Other ◽  
New Taxon ◽  
Artificial System ◽  
Broad Understanding

The paper considers a point of view, based on the conception of the broad understanding of taxons. According to this point of view, rhyncholites of the subgenus Dentatobeccus and Microbeccus are accepted to be synonymous with the genus Rhynchoteuthis, and subgenus Romanovichella is considered to be synonymous with the genus Palaeoteuthis. The criteria, exercising influence on the different approaches to the classification of rhyncholites, have been analyzed (such as age and individual variability, sexual dimorphism, pathological and teratological features, degree of disintegration of material), underestimation of which can lead to inaccuracy. Divestment of the subgenuses Dentatobeccus, Microbeccus and Romanovichella, possessing very bright morphological characteristics, to have an independent status and denomination to their synonyms, has been noted to be unjustified. An artificial system (any suggested variant) with all its minuses is a single probable system for rhyncholites. The main criteria, minimizing its negative sides and proving the separation of the new taxon, is an available mass-scale material. The narrow understanding of the genus, used in sensible limits, has been underlined to simplify the problem of the passing the view about the genus to the other investigators and recognition of rhyncholites for the practical tasks.

Optimization of K Value in KNN Algorithm for Spam and Ham Email Classification

2020 ◽  
Vol 4 (2) ◽  
pp. 377-383
Author(s):  
Eko Laksono ◽  
Achmad Basuki ◽  
Fitra Bachtiar
Keyword(s):  
Frequency Distribution ◽  
Confusion Matrix ◽  
High Accuracy ◽  
K Value ◽  
A Value ◽  
Optimal Value ◽  
Classification Evaluation ◽  
Email Spam ◽  
Email Classification

There are many cases of email abuse that have the potential to harm others. This email abuse is commonly known as spam, which contains advertisements, phishing scams, and even malware. This study purpose to know the classification of email spam with ham using the KNN method as an effort to reduce the amount of spam. KNN can classify spam or ham in an email by checking it using a different K value approach. The results of the classification evaluation using confusion matrix resulted in the KNN method with a value of K = 1 having the highest accuracy value of 91.4%. From the results of the study, it is known that the optimization of the K value in KNN using frequency distribution clustering can produce high accuracy of 100%, while k-means clustering produces an accuracy of 99%. So based on the results of the existing accuracy values, the frequency distribution clustering and k-means clustering can be used to optimize the K-optimal value of the KNN in the classification of existing spam emails.

E-Commerce Berbasis Marketplace Dalam Upaya Mempersingkat Distribusi Penjualan Hasil Pertanian

2017 ◽  
Vol 1 (2) ◽  
pp. 131-136 ◽  
Author(s):  
Deni Apriadi ◽  
Arie Yandi Saputra
Keyword(s):  
Agricultural Sector ◽  
Positive Influence ◽  
End Users ◽  
Marketing Channels ◽  
Agricultural Products ◽  
The Other ◽  
Media Campaign ◽  
Community Groups ◽  
Distribution Chain ◽  
Production Demand

The agricultural sector has an important role in supporting the Indonesian economy. But on the other hand, sometimes many community groups do not benefit due to problems that arise because the distribution chain of agricultural products are long enough, especially for farmers and consumers (end users). Of course the situation must be improved, so that the agricultural products of Indonesia can be enjoyed by consumers or farmers with proper. One of its efforts is by establishing an e-commerce based e-commerce system in agriculture. E-commerce based ecommerce system can be used as an alternative for farmers, used as a media campaign, communication and information and can cut the distribution chain of agricultural products marketing. The benefits felt by farmers and consumers directly and indirectly give a positive influence, especially from the broader marketing channels of agricultural products can increase production demand and spur the procurement of production among farmers and also the price offered to consumers will be cheaper so that sales in agricultural products can be more increased and profitable for farmers

Der Erzieher als Manager

2019 ◽  
Vol 95 (4) ◽  
pp. 517-530
Author(s):  
Diana Lohwasser
Keyword(s):  
Educational Process ◽  
The Other ◽  
Critical View ◽  
Other Hand ◽  
The One ◽  
Short Time ◽  
Time Diagnosis

Abstract The Educator as a Manager. A Critical View In the following article tasks and motifs of the educator as manager are described. It is clear that there are other educator metaphors and associated behaviors. To some extent, the actions of the different educator metaphors overlap, but they differ in their purpose and perspective on the educational process and the person to be educated. First, a short time diagnosis is made, which describes the context of this metaphor of the educator as manager. Subsequently, on the one hand, the various motifs, tasks and objectives of an educator as manager are discussed. On the other hand, it is asked if it is possible in the current discourse to take a different perspective on the educational process.

Somatoform disorders: diseases of the civilization

2020 ◽  
pp. 25-30
Author(s):  
I. Kukhtevich
Keyword(s):  
Health Professionals ◽  
Somatoform Disorders ◽  
Neuropsychiatric Disorders ◽  
The Other ◽  
Significant Part ◽  
Organic Basis ◽  
Autonomic Disorders ◽  
The One ◽  
Somatic Diseases

Functional autonomic disorders occupy a significant part in the practice of neurologists and professionals of other specialties as well. However, there is no generally accepted classification of such disorders. In this paper the authors tried to show that functional autonomic pathology corresponds to the concept of somatoform disorders combining syndromes manifested by visceral, borderline psychopathological, neurological symptoms that do not have an organic basis. The relevance of the problem of somatoform disorders is that on the one hand many health professionals are not familiar enough with manifestations of borderline neuropsychiatric disorders, often forming functional autonomic disorders, and on the other hand they overestimate somatoform symptoms that are similar to somatic diseases.

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