Отрывок: There is type II error. Thus, the confidence interval may be changed depending on how many animals need to be checked by the workers per day, and what level of identification accuracy is required. The first step is building a histogram of the probability density distribution for calculating complex mastitis traits. The next stage is obtaining the threshold value P in accordance with the installed confidence interval. Suspicion of disease in the anim...
Полная запись метаданных
Поле DC Значение Язык
dc.contributor.authorL.V. Antonov-
dc.contributor.authorA.A. Orlov-
dc.contributor.authorA.V. Astafiev-
dc.date.accessioned2018-05-14 17:28:43-
dc.date.available2018-05-14 17:28:43-
dc.date.issued2018-
dc.identifierDspace\SGAU\20180514\69154ru
dc.identifier.citationL.V. Antonov. Algorithm for detecting the latent mastitis state of animals in a dairy farms on the based of data fusion from different types sensors / L.V. Antonov, A.A. Orlov, A.V. Astafiev // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С.2138-2142.ru
dc.identifier.urihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Algorithm-for-detecting-the-latent-mastitis-state-of-animals-in-a-dairy-farms-on-the-based-of-data-fusion-from-different-types-sensors-69154-
dc.descriptionОсновная статьяru
dc.description.abstractThe problem of latent mastitis identification in livestock enterprises is analyzed. The necessity of automatizing the mastitis identification process is shown. Biological methods for determining the presence of the disease are considered in the article. Common methods of data fusion for the extraction of an informative trait is analyzed in the work. A new algorithm for identifying mastitis in animals based on data fusion from the livestock enterprise sensors is proposed. The developed algorithm as compared to the conventional method of determining mastitis increases the accuracy of the disease's identification by 6.5 percent.ru
dc.language.isoenru
dc.publisherНовая техникаru
dc.subjectSensors' data fusionru
dc.subjectLivestock enterpriseru
dc.subjectMastitisru
dc.titleAlgorithm for detecting the latent mastitis state of animals in a dairy farms on the based of data fusion from different types sensorsru
dc.typeArticleru
dc.textpartThere is type II error. Thus, the confidence interval may be changed depending on how many animals need to be checked by the workers per day, and what level of identification accuracy is required. The first step is building a histogram of the probability density distribution for calculating complex mastitis traits. The next stage is obtaining the threshold value P in accordance with the installed confidence interval. Suspicion of disease in the anim...-
Располагается в коллекциях: Информационные технологии и нанотехнологии

Файлы этого ресурса:
Файл Описание Размер Формат  
Algorithm for detecting the latent mastitis state of animals in a dairy farms on the based of data fusion from different types sensors.pdfОсновная статья162.12 kBAdobe PDFПросмотреть/Открыть
Показать базовое описание ресурса Просмотр статистики
Поделиться:



Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.