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Deep learning in image-based plant phenoty**
A major bottleneck in the crop improvement pipeline is our ability to phenotype crops quickly
and efficiently. Image-based, high-throughput phenoty** has a number of advantages …
and efficiently. Image-based, high-throughput phenoty** has a number of advantages …
Advancing precision agriculture: The potential of deep learning for cereal plant head detection
Cereal plant heads must be identified precisely and effectively in a range of agricultural
applications, including yield estimation, disease detection, and breeding. Traditional …
applications, including yield estimation, disease detection, and breeding. Traditional …
Extending the wilds benchmark for unsupervised adaptation
S Sagawa, PW Koh, T Lee, I Gao, SM ** by combining domain adaptation with 3D plant model simulations: Application to wheat leaf counting at seedling stage
The number of leaves at a given time is important to characterize plant growth and
development. In this work, we developed a high-throughput method to count the number of …
development. In this work, we developed a high-throughput method to count the number of …