DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning-Reference-Cited by-同舟云学术

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DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning

Published:2018-03 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Winter Conference on Applications of Computer Vision (WACV)
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Author:

Aich Shubhra,Josuttes Anique,Ovsyannikov Ilya,Strueby Keegan,Ahmed Imran,Duddu Hema Sudhakar,Pozniak Curtis,Shirtliffe Steve,Stavness Ian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8345804/8354104/08354146.pdf?arnumber=8354146

Cited by 43 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning in Image-Based Plant Phenotyping;Annual Review of Plant Biology;2024-07-22

2. Improved YOLO-FastestV2 wheat spike detection model based on a multi-stage attention mechanism with a LightFPN detection head;Frontiers in Plant Science;2024-06-19

3. Winter Wheat Plant Density Determination: Robust Predictions Across Varied Agronomic Conditions Using Multiscale Rgb Imaging;2024

4. The balance between spectral and spatial information to estimate straw cereal plant density at early growth stages from optical sensors;Computers and Electronics in Agriculture;2023-12

5. Optimal weighted GAN and U-Net based segmentation for phenotypic trait estimation of crops using Taylor Coot algorithm;Applied Soft Computing;2023-09

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