Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture

JOURNAL OF FIELD ROBOTICS, pp. 7.0-19.0, 2020.

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Abstract:

Agricultural robots rely on semantic segmentation for distinguishing between crops and weeds to perform selective treatments and increase yield and crop health while reducing the amount of chemicals used. Deep-learning approaches have recently achieved both excellent classification performance and real-time execution. However, these techn...More

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