DEEP CONVOLUTIONAL NEURAL NETWORKS FOR WEED DETECTION IN AGRICULTURAL CROPS USING OPTICAL AERIAL IMAGES

DEEP CONVOLUTIONAL NEURAL NETWORKS FOR WEED DETECTION IN AGRICULTURAL CROPS USING OPTICAL AERIAL IMAGES

The presence of weeds in agricultural crops has been one of the problems of greatest interest in recent years as they consume natural resources and negatively affect the agricultural process. For this purpose, a model has been implemented to segment weed in aerial images. The proposed model relies o...

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Bibliographic Details
Main Authors:	W. Ramirez, P. Achanccaray, L. F. Mendoza, M. A. C. Pacheco
Format:	Article
Language:	English
Published:	Copernicus Publications 2020-11-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/551/2020/isprs-archives-XLII-3-W12-2020-551-2020.pdf

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