RETRACTED: Advanced techniques for Weed and crop identification for site specific Weed management

This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy)This article has been retracted at the request of the journal editors.It has been brought to the attention of the editors that this review paper has been constructed, in substantial part, by verbatim copying of paragraphs etc. from papers that had already been published in scientific journals. The copied papers include:Gee, C., Bossu, J., Jones, G., and Truchetet, F. (2008). Crop/weed discrimination in perspective agronomic images. Computers and Electronics in Agriculture, 60(1), 49–59. doi:10.1016/j.compag.2007.06.003Longchamps, L., Panneton, B., Samson, G., Leroux, G. D., and Thériault, R. (2009). Discrimination of corn, grasses and dicot weeds by their UV-induced fluorescence spectral signature. Precision Agriculture, 11(2), 181–197. doi:10.1007/s11119-009-9126-0Manh, A.-G., Rabatel, G., Assemat, L. and Aldon, M. -J. (2001). Weed leaf image segmentation by deformable templates. Journal of Agricultural Engineering Research, 80(2), 139–146. doi:10.1006/jaer.2001.0725Okamoto, H., Murata, T., Kataoka, T., and Hata, S. (2006). Plant classification for weed detection using hyperspectral imaging with wavelet analysis. Weed Biology and Management, 7, 31–37. doi:10.1111/j.1445-6664.2006.00234.xPiron, A., Leemans, V., Kleynen, O., Lebeau, F., and Destain, M.-F. (2008). Selection of the most efficient wavelength bands for discriminating weeds from crop. Computers and Electronics in Agriculture, 62, 141–148. doi:10.1016/j.compag.2007.12.007Tellaeche, A., Burgos Artizzu, X. P., Pajares, G., Ribeiro, A. and Fernández-Quintanilla, C. (2008). A new vision-based approach to differential spraying in precision agriculture. Computers and Electronics in Agriculture, 60, 144–155 (authors incorrectly listed by Singh et al by forenames not family names). doi:10.1016/j.compag.2007.07.008Wang, N., Zhang, N., Wei, J., Stoll, Q., and Peterson, D. E. (2007). A real-time, embedded, weed-detection system for use in wheat fields. Biosystems Engineering, 98(3), 276–285. doi:10.1016/j.biosystemseng.2007.08.007The editors apologise to the authors and publishers of all papers copied and to the journal's readers for the inappropriate publication of this paper. One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original and has not appeared in a publication elsewhere. Re-use of any data should be appropriately cited. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and apologies are offered to readers of the journal that this was not detected during the submission process.