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A 30-m annual corn residue coverage dataset from 2013 to 2021 in Northeast China.
- Published in:
- Scientific Data, 2024, v. 11, p. 1, doi. 10.1038/s41597-024-02998-7
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- Publication type:
- Article
Mapping the Corn Residue-Covered Types Using Multi-Scale Feature Fusion and Supervised Learning Method by Chinese GF-2 PMS Image.
- Published in:
- Frontiers in Plant Science, 2022, v. 13, p. 1, doi. 10.3389/fpls.2022.901042
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- Article
Completing 3D Point Clouds of Thin Corn Leaves for Phenotyping Using 3D Gridding Convolutional Neural Networks.
- Published in:
- Remote Sensing, 2023, v. 15, n. 22, p. 5289, doi. 10.3390/rs15225289
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- Article
Corn Residue Covered Area Mapping with a Deep Learning Method Using Chinese GF-1 B/D High Resolution Remote Sensing Images.
- Published in:
- Remote Sensing, 2021, v. 13, n. 15, p. 2903, doi. 10.3390/rs13152903
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- Article
Monitoring the damage of armyworm as a pest in summer corn by unmanned aerial vehicle imaging.
- Published in:
- Pest Management Science, 2022, v. 78, n. 6, p. 2265, doi. 10.1002/ps.6852
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- Article