REAL-TIME BLOB-WISE SUGAR BEETS VS WEEDS CLASSIFICATION FOR MONITORING FIELDS USING CONVOLUTIONAL NEURAL NETWORKS

Philipp Lottes
Philipp Lottes

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 41-48, 2017.

被引用73|浏览15

摘要

Abstract. UAVs are becoming an important tool for field monitoring and precision farming. A prerequisite for observing and analyzing fields is the ability to identify crops and weeds from image data. In this paper, we address the problem of detecting the sugar beet plants and weeds in the field based solely on image data. We propose a sy...更多

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