A review of advanced machine learning methods for the detection of biotic stress in precision crop protection

@article{Behmann2014ARO,
  title={A review of advanced machine learning methods for the detection of biotic stress in precision crop protection},
  author={Jan Behmann and Anne-Katrin Mahlein and Till Rumpf and Christoph R{\"o}mer and Lutz Pl{\"u}mer},
  journal={Precision Agriculture},
  year={2014},
  volume={16},
  pages={239-260}
}
Effective crop protection requires early and accurate detection of biotic stress. In recent years, remarkable results have been achieved in the early detection of weeds, plant diseases and insect pests in crops. These achievements are related both to the development of non-invasive, high resolution optical sensors and data analysis methods that are able to cope with the resolution, size and complexity of the signals from these sensors. Several methods of machine learning have been utilized for… CONTINUE READING
Highly Cited
This paper has 23 citations. REVIEW CITATIONS