Table of Contents
ISRN Artificial Intelligence
Volume 2013 (2013), Article ID 430986, 9 pages
Research Article

Yield Prediction for Tomato Greenhouse Using EFuNN

School of Engineering, University of Warwick, Coventry CV4 7AL, UK

Received 9 January 2013; Accepted 28 January 2013

Academic Editors: C. Kotropoulos, H. Ling, and L. S. Wang

Copyright © 2013 Kefaya Qaddoum et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Kefaya Qaddoum, E. L. Hines, and D. D. Iliescu, “Yield Prediction for Tomato Greenhouse Using EFuNN,” ISRN Artificial Intelligence, vol. 2013, Article ID 430986, 9 pages, 2013. doi:10.1155/2013/430986