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Article

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification

2018-10-01

Abstract excerpt

The problem of automatic recognition of plant diseases has been historically based on conventional machine learning techniques such as Support Vector Machines, Multilayer Perceptron Neural Networks and Decision Trees. However, the prevailing approach has shifted to the application of deep learning concepts, with focus on Convolutional Neural Networks (CNNs). In general, this kind of technique requires large datase...

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Literature Corpus work
93b7c754-b107-54d1-80d2-c63041754dba
DOI
10.1016/j.compag.2018.08.013
Open publication

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Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classificationDOI 10.1016/j.compag.2018.08.013
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