Data for: Deep Learning in Agriculture: A Survey

Published: 22-02-2018| Version 1 | DOI: 10.17632/mhbzm2f74t.1
Contributors:
Andreas Kamilaris,
Francesc Prenafeta-Boldu

Description

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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