@conference {103,
	title = {Interpolaci{\'o}n Espacial Mediante Aprendizaje de M{\'a}quinas en Vi{\~n}edos de la Provincia de Mendoza, Argentina.},
	booktitle = {13th Argentine Symposium on Artificial Intelligence},
	year = {2012},
	isbn = {1850-2784},
	author = {Bromberg, F and P{\'e}rez, Diego S}
}
@conference {80,
	title = {Strategies for piecing-together Local-to-Global Markov network learning algorithms},
	booktitle = {ASAI 2011},
	year = {2011},
	month = {08/2011},
	publisher = {Proceedings of ASAI 2011, Argentinean Symposioum of Artificial Intelligence},
	organization = {Proceedings of ASAI 2011, Argentinean Symposioum of Artificial Intelligence},
	address = {C{\'o}rdoba, Argentina},
	author = {Schl{\"u}ter, F and Bromberg, F and Abraham, L}
}
@proceedings {257,
	title = {Multi species weed detection with Retinanet one-step network in a maize field},
	journal = {Precision agriculture{\textquoteright}21},
	year = {2021},
	month = {06/2021},
	pages = {2223{\textendash}2228},
	publisher = {Wageningen Academic Publishers},
	address = {Budapest, Hungary},
	abstract = {<p>Weed density and composition are not uniform throughout the field, nevertheless, the conventional approach is to carry out a uniform application. Object Detection Networks have already arrived in agricultural applications that can be used for weed management. The current study developed a detection and classification of weeds system in a one-step procedure using RetinaNet Object Detection Network. The procedure was based on identifying Solanum nigrum L., Cyperus rotundus L. and Echinochloa crus-galli L. and two growth stages both for a broadleaf species (S. nigrum) as well as narrow-leaved species (C. rotundus) in a maize field. The predictions were evaluated by mAP metric. The result obtained was 0.88 with values between 0.98 and 0.75 depending on the class.</p>
},
	keywords = {deep learning, object detection networks, RetinaNet, site-specific weed management},
	isbn = {978-90-8686-916-9},
	issn = {978-90-8686-363-1},
	doi = {https://doi.org/10.3920/978-90-8686-916-9},
	url = {https://www.wageningenacademic.com/doi/abs/10.3920/978-90-8686-916-9},
	author = {Correa, JM L{\'o}pez and Todeschini, M and P{\'e}rez, DS and Karouta, J and Bromberg, F and Ribeiro, A and And{\'u}jar, D}
}
