Spatio-temporal prediction of crop disease severity for agricultural emergency management based on recurrent neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geography, Planning and Development,Information Systems
Link
http://link.springer.com/article/10.1007/s10707-017-0314-1/fulltext.html
Reference43 articles.
1. Aydin B, Akkineni V, Angryk R (2016) Mining spatiotemporal co-occurrence patterns in non-relational databases. GeoInformatica 20(4):801–828. https://doi.org/10.1007/s10707-016-0255-0
2. Babaei S, Geranmayeh A, Seyyedsalehi SA (2012) Towards designing modular recurrent neural networks in learning protein secondary structures. Expert Syst Appl 39(6):6263–6274. https://doi.org/10.1016/j.eswa.2011.12.059
3. Beed FD (2014) Managing the biological environment to promote and sustain crop productivity and quality. Food Security 6(2):169–186. https://doi.org/10.1007/s12571-014-0333-9
4. Bradley PE, Paul N (2014) Comparing G-maps with other topological data structures. GeoInformatica 18(3):595–620. https://doi.org/10.1007/s10707-013-0191-1
5. Cang S, Yu H (2012) Mutual information based input feature selection for classification problems. Decis Support Syst 54(1):691–698. https://doi.org/10.1016/j.dss.2012.08.014
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