Towards weeds identification assistance through transfer learning

Author:

Espejo-Garcia Borja,Mylonas Nikos,Athanasakos Loukas,Fountas Spyros,Vasilakoglou Ioannis

Funder

Government of Aragon and the European Social Fund

Spanish Government

Aragon Government and EU FEDER program project

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference48 articles.

1. Evaluation of support vector machine and artificial neural networks in weed detection using shape features;Bakhshipour;Comput. Electron. Agric.,2018

2. Factors influencing the use of deep learning for plant disease recognition;Barbedo;Biosyst. Eng.,2018

3. Deep learning of representations for unsupervised and transfer learning;Bengio;J. Machine Learning Res.,2012

4. Plant disease severity estimated visually, by digital photography and image analysis, and by hyperspectral imaging;Bock;Biosyst. Eng.,2010

5. Convolutional ladder networks for Legal NERC and the impact of unsupervised data in better generalizations;Cardellino,2016

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