Comparison of Neural Network and Maximum Likelihood High Resolution Image Classification for Weed Detection in Crops: Applications in Precision Agriculture

Peter R. Eddy, Anne M. Smith, Bernard D. Hill, Derek R. Peddle, Craig A. Coburn, Robert E. Blackshaw. Comparison of Neural Network and Maximum Likelihood High Resolution Image Classification for Weed Detection in Crops: Applications in Precision Agriculture. In IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2006, July 31 - August 4, 2006, Denver, Colorado, USA, Proceedings. pages 116-119, IEEE, 2006. [doi]

@inproceedings{EddySHPCB06,
  title = {Comparison of Neural Network and Maximum Likelihood High Resolution Image Classification for Weed Detection in Crops: Applications in Precision Agriculture},
  author = {Peter R. Eddy and Anne M. Smith and Bernard D. Hill and Derek R. Peddle and Craig A. Coburn and Robert E. Blackshaw},
  year = {2006},
  doi = {10.1109/IGARSS.2006.35},
  url = {http://dx.doi.org/10.1109/IGARSS.2006.35},
  tags = {classification},
  researchr = {https://researchr.org/publication/EddySHPCB06},
  cites = {0},
  citedby = {0},
  pages = {116-119},
  booktitle = {IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2006, July 31 - August 4, 2006, Denver, Colorado, USA, Proceedings},
  publisher = {IEEE},
}