Review of Automated Weed Control Approaches: An Environmental Impact Perspective
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-00825-3_12
Reference51 articles.
1. Andújar, D., Ribeiro, Á., Fernández-Quintanilla, C., Dorado, J.: Accuracy and feasibility of optoelectronic sensors for weed mapping in wide row crops. Sensors 11(3), 2304–2318 (2011)
2. Berge, T., Goldberg, S., Kaspersen, K., Netland, J.: Towards machine vision based site-specific weed management in cereals. Comput. Electron. Agric. 81, 79–86 (2012). https://doi.org/10.1016/j.compag.2011.11.004
3. Bogue, R.: Robots poised to revolutionise agriculture. Ind. Robot: Int. J. 43(5), 450–456 (2016). https://doi.org/10.1108/ir-05-2016-0142
4. Burgos-Artizzu, X.P., Ribeiro, A., Tellaeche, A., Pajares, G., Fernández-Quintanilla, C.: Improving weed pressure assessment using digital images from an experience-based reasoning approach. Comput. Electron. Agric. 65(2), 176–185 (2009). https://doi.org/10.1016/j.compag.2008.09.001
5. Castaldi, F., Pelosi, F., Pascucci, S., Casa, R.: Assessing the potential of images from unmanned aerial vehicles (UAV) to support herbicide patch spraying in maize. Precis. Agric. 18, 1–19 (2016). https://doi.org/10.1007/s11119-016-9468-3
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