Výsledky vyhledávání - "Vishwanath R. Udupi"

Identification of plant diseases using convolutional neural networks

Autor: Sanjay B. Patil, Sachin B. Jadhav, Vishwanath R. Udupi

Publikováno v: International Journal of Information Technology. 13:2461-2470

Plant pathologists desire an accurate and reliable soybean plant disease diagnosis system. In this study, we propose an efficient soybean diseases identification method based on a transfer learning approach by using pretrained AlexNet and GoogleNet c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1751c664785496fae4de771ad97f8fe4
https://doi.org/10.1007/s41870-020-00437-5

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Classification of Soybean Diseases Using Pre-trained Deep Convolutional Neural Networks

Autor: Sanjay B. Patil, Vishwanath R. Udupi, Sachin B. Jadhav

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030518585

In this work, a novel soybean leaf disease classification technique related to pre-trained GoogleNet deep convolutional neural networks (CNN) architecture proposed. The proposed GoogleNet architecture trained on a database of 550 image samples of unh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::55bea758b125021584f1a232dc9d2392
https://doi.org/10.1007/978-3-030-51859-2_68

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Efficient Framework for Identification of Soybean Disease Using Machine Learning Algorithms

Autor: Vishwanath R. Udupi, Sanjay B. Patil, Sachin B. Jadhav

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030518585

This paper exhibits the detection and classification framework of soybean leaflet diseases. Identification and classification were performed utilizing an k-means algorithm and a multiclass support vector machine (SVM). Healthy and unhealthy leaflets

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7a627e6def7767ab238c0f85c21c2c67
https://doi.org/10.1007/978-3-030-51859-2_65

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Convolutional Neural Networks for Leaf Image-Based Plant Disease Classification

Autor: Sanjay B. Patil, Sachin B. Jadhav, Vishwanath R. Udupi

Publikováno v: IAES International Journal of Artificial Intelligence (IJ-AI). 8:328

Plant pathologists desire soft computing technology for accurate and reliable diagnosis of plant diseases. In this study, we propose an efficient soybean disease identification method based on a transfer learning approach by using a pre-trained convo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80867b292bd16c9c93e20c6e2a8ef160
https://doi.org/10.11591/ijai.v8.i4.pp328-341

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