Data for: Deep Learning in Agriculture: A Survey
Published: 22 February 2018| Version 1 | DOI: 10.17632/mhbzm2f74t.1
Contributors:
Andreas Kamilaris, Francesc Prenafeta-BolduDescription
Survey on the deep learning technique applied in agriculture. Detailed review of 40 relevant research papers, examining research area and problem they focus on, technical details on deep learning models, sources of data, pre-processing and data augmentation techniques used, and overall performance achieved.
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Categories
Agricultural Science, Deep Learning