CROP AND WEED SEGMENTATION ON GROUND-BASED IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORK

7 citations as recorded by crossref.

1. Unsupervised domain adaptation with self-training for weed segmentation Y. Huang et al. 10.1016/j.iswa.2024.200468
2. Crop and Weed Segmentation and Fractal Dimension Estimation Using Small Training Data in Heterogeneous Data Environment R. Akram et al. 10.3390/fractalfract8050285
3. Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study T. Shahi et al. 10.3390/drones7100624
4. Advancements of UAV and Deep Learning Technologies for Weed Management in Farmland J. Zhang et al. 10.3390/agronomy14030494
5. Intrarow Uncut Weed Detection Using You-Only-Look-Once Instance Segmentation for Orchard Plantations R. Sampurno et al. 10.3390/s24030893
6. Real-Time Joint-Stem Prediction for Agricultural Robots in Grasslands Using Multi-Task Learning J. Li et al. 10.3390/agronomy13092365
7. A Weakly Supervised Semantic Segmentation Model of Maize Seedlings and Weed Images Based on Scrawl Labels L. Zhao et al. 10.3390/s23249846