Maize Seedling Leave Counting Based on Semi-Supervised Learning and UAV RGB Images
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- Han, Congying & Zhang, Baozhong & Chen, He & Wei, Zheng & Liu, Yu, 2019. "Spatially distributed crop model based on remote sensing," Agricultural Water Management, Elsevier, vol. 218(C), pages 165-173.
- Shenglian Lu & Zhen Song & Wenkang Chen & Tingting Qian & Yingyu Zhang & Ming Chen & Guo Li, 2021. "Counting Dense Leaves under Natural Environments via an Improved Deep-Learning-Based Object Detection Algorithm," Agriculture, MDPI, vol. 11(10), pages 1-16, October.
- Chuandong Zhang & Huali Ding & Qinfeng Shi & Yunfei Wang, 2022. "Grape Cluster Real-Time Detection in Complex Natural Scenes Based on YOLOv5s Deep Learning Network," Agriculture, MDPI, vol. 12(8), pages 1-12, August.
- Liang, Zhengyuan & van der Werf, Wopke & Xu, Zhan & Cheng, Jiali & Wang, Chong & Cong, Wen-Feng & Zhang, Chaochun & Zhang, Fusuo & Groot, Jeroen C.J., 2022. "Identifying exemplary sustainable cropping systems using a positive deviance approach: Wheat-maize double cropping in the North China Plain," Agricultural Systems, Elsevier, vol. 201(C).
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Cited by:
- Zishang Yang & Jiawei Liu & Lele Wang & Yunhui Shi & Gongpei Cui & Li Ding & He Li, 2024. "Fast and Precise Detection of Dense Soybean Seedlings Images Based on Airborne Edge Device," Agriculture, MDPI, vol. 14(2), pages 1-21, January.
- Rui Zhang & Mingwei Yao & Zijie Qiu & Lizhuo Zhang & Wei Li & Yue Shen, 2024. "Wheat Teacher: A One-Stage Anchor-Based Semi-Supervised Wheat Head Detector Utilizing Pseudo-Labeling and Consistency Regularization Methods," Agriculture, MDPI, vol. 14(2), pages 1-21, February.
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Keywords
maize; leaf counting; semi-supervised learning; UAV; SOLOv2; YOLOv5x;All these keywords.
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