Analysis of Morphology-Based Features for Classification of Crop and Weeds in Precision Agriculture

IEEE Robotics and Automation Letters, pp. 2950-2956, 2018.

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Abstract:

Determining the types of vegetation present in an image is a core step in many precision agriculture tasks. In this letter, we focus on pixel-based approaches for classification of crops versus weeds, especially for complex cases involving overlapping plants and partial occlusion. We examine the benefits of multiscale and content-driven m...More

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