1. A New vision-based approach to differential spraying in precision agriculture;Alberto;Computers and Electronics in Agriculture,2008
2. Weed detection in multi-spectral images of cotton fields;Alchanatis;Computers and Electronics in Agriculture,2005
3. Measuring light interception by weeds in maize crop;Assemat,1995
4. Bacher, B. 2001. Weed Density Estimation from Digital Images in Spring Barley. Ph.D. thesis, Dept. Agricultural Sciences, Section of Agro Technology. The Royal Veterinary and Agricultural University, Denmark.
5. Belzile, C., Belanger, M., Viau, A. A., Chamberland, M., & Roy, S. (2004). An operational fluorescence system for crop assessment. In: B. S. Bennedsen, Y.-R. Chen, G. E. Meyer, A. G. Senecal, & S. -I Tu (Ed.), Proceedings: Vol. 5271. Monitoring Food Safety, Agriculture, and Plant Health. pp. 244–252.