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Semi-Supervised Weed Detection for Rapid Deployment and Enhanced Efficiency
Weeds present a significant challenge in agriculture, causing yield loss and requiring expensive control measures.
ShadowRemovalNet: Efficient Real-Time Shadow Removal
We propose ShadowRemovalNet, a novel method designed for real-time image processing on resource-constrained hardware.
WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets
WeedCLR is evaluated on two public weed datasets: CottonWeedID15, containing 15 weed species, and DeepWeeds, containing 8 weed species.
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