2024
DOI: 10.1186/s13007-024-01232-0
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Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning

Zhonghui Guo,
Dongdong Cai,
Yunyi Zhou
et al.

Abstract: Background Rice field weed object detection can provide key information on weed species and locations for precise spraying, which is of great significance in actual agricultural production. However, facing the complex and changing real farm environments, traditional object detection methods still have difficulties in identifying small-sized, occluded and densely distributed weed instances. To address these problems, this paper proposes a multi-scale feature enhanced DETR network, named RMS-DETR… Show more

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