Weed mapping in cotton using ground-based sensors and GIS
Author:
Funder
European Commission
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
http://link.springer.com/article/10.1007/s10661-018-6991-x/fulltext.html
Reference34 articles.
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2. Cardina, J., Johnson, G. A., & Sparrow, D. H. (1997). The nature and consequence of weed spatial distribution. Weed Science, 45(3), 364–373.
3. Castillejo-González, I. L., Peña-Barragán, J. M., Jurado-Expósito, M., Mesas-Carrascosa, F. J., & López-Granados, F. (2014). Evaluation of pixel- and object-based approaches for mapping wild oat (Avena sterilis) weed patches in wheat fields using QuickBird imagery for site-specific management. European Journal of Agronomy, 59, 57–66.
4. Clevers, J. G. P. W., & Gitelson, A. A. (2013). Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3. International Journal of Applied Earth Observation and Geoinformation, 23, 344–351.
5. Deytieux, V., Nemecek, T., Knuchel, R. F., Gaillard, G., & Munier-Jolain, N. M. (2012). Is integrated weed management efficient for reducing environmental impacts of cropping systems? A case study based on life cycle assessment. European Journal of Agronomy, 36(1), 55–65.
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