[HTML][HTML] High-throughput phenotyping: Breaking through the bottleneck in future crop breeding

P Song, J Wang, X Guo, W Yang, C Zhao - The Crop Journal, 2021 - Elsevier
With the rapid development of genetic analysis techniques and crop population size,
phenotyping has become the bottleneck restricting crop breeding. Breaking through this …

Deep learning: As the new frontier in high-throughput plant phenotyping

S Arya, KS Sandhu, J Singh, S Kumar - Euphytica, 2022 - Springer
With climate change and ever-increasing population growth, the pace of varietal
development needs to be accelerated in order to feed a population of 10 billion by 2050 …

[HTML][HTML] Semi-supervised few-shot learning approach for plant diseases recognition

Y Li, X Chao - Plant Methods, 2021 - Springer
Background Learning from a few samples to automatically recognize the plant leaf diseases
is an attractive and promising study to protect the agricultural yield and quality. The existing …

[HTML][HTML] Rapid detection and counting of wheat ears in the field using YOLOv4 with attention module

B Yang, Z Gao, Y Gao, Y Zhu - Agronomy, 2021 - mdpi.com
The detection and counting of wheat ears are very important for crop field management,
yield estimation, and phenotypic analysis. Previous studies have shown that most methods …

[HTML][HTML] Advanced high-throughput plant phenotyping techniques for genome-wide association studies: A review

Q Xiao, X Bai, C Zhang, Y He - Journal of advanced research, 2022 - Elsevier
Background Linking phenotypes and genotypes to identify genetic architectures that
regulate important traits is crucial for plant breeding and the development of plant genomics …

Advancing precision agriculture: The potential of deep learning for cereal plant head detection

A Sanaeifar, ML Guindo, A Bakhshipour… - … and Electronics in …, 2023 - Elsevier
Cereal plant heads must be identified precisely and effectively in a range of agricultural
applications, including yield estimation, disease detection, and breeding. Traditional …

[HTML][HTML] Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives

H Tao, S Xu, Y Tian, Z Li, Y Ge, J Zhang, Y Wang… - Plant …, 2022 - cell.com
Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of
genomics and environment on plants, limiting the progress of smart breeding and precise …

Quick and accurate monitoring peanut seedlings emergence rate through UAV video and deep learning

Y Lin, T Chen, S Liu, Y Cai, H Shi, D Zheng… - … and Electronics in …, 2022 - Elsevier
During the seedling stage, real-time monitoring and detection of seed germination are
important for testing the quality of seeds, crop field management, and yield estimation …

Crop phenotyping in a context of global change: What to measure and how to do it

JL Araus, SC Kefauver, O Vergara‐Díaz… - Journal of Integrative …, 2022 - Wiley Online Library
High‐throughput crop phenotyping, particularly under field conditions, is nowadays
perceived as a key factor limiting crop genetic advance. Phenotyping not only facilitates …

[HTML][HTML] Field rice panicle detection and counting based on deep learning

X Wang, W Yang, Q Lv, C Huang, X Liang… - Frontiers in plant …, 2022 - frontiersin.org
Panicle number is directly related to rice yield, so panicle detection and counting has always
been one of the most important scientific research topics. Panicle counting is a challenging …