Root segmentation beyond species boundaries: A generalizable framework for anatomical analysis [0.03%]
超越物种界限的根系分割：一种通用解剖分析框架
Yifei Qian,Yong En Kok,George Janes et al.
Yifei Qian et al.
Root anatomical features are critical for plant performance characterization, yet phenotyping at the anatomical scale remains limited by the extreme annotation burden of cellular segmentation. We present a two-stage segmentation framework t...
Seeing the unseen: A novel approach to extract latent plant root traits from digital images [0.03%]
见所未见：一种新颖的从数字图像中提取潜在根系性状的方法
Mirza Shoaib,Adam M Dimech,Simone J Rochfort et al.
Mirza Shoaib et al.
A novel approach, the Algorithmic Root Trait (ART) extraction method, identifies and quantifies computationally-derived plant root traits, revealing latent patterns related to dense root clusters in digital images. Using an ensemble of mult...
RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds [0.03%]
基于无人机LiDAR点云的橡胶树单木分割与结构参数提取方法研究——RSegnet模型构建与精度分析
Hengrui Wang,Zilin Ye,Qin Zhang et al.
Hengrui Wang et al.
As an important tropical cash crop, rubber trees play a key role in the rubber industry and ecosystem. However, a significant challenge in precision agriculture and refined management of rubber plantation lies in the limitations of traditio...
CitrusGAN: sparse-view X-ray CT reconstruction for citrus based on generative adversarial networks [0.03%]
基于生成对抗网络的柑橘稀疏数据X射线CT重建(CitrusGAN)
Hansong Xiang,Zilong Xu,Yonghua Yu et al.
Hansong Xiang et al.
3D phenotyping of the external and internal structures is important to breed new fruit species. As manual phenotyping is error-prone and time-consuming, developing high-throughput solutions with enhanced precision and low costs is necessary...
ChatLeafDisease: a chain-of-thought prompting approach for crop disease classification using large language models [0.03%]
基于大语言模型的农作物病害分类的chain-of-thought提示方法
Jiandong Pan,Renhai Zhong,Fulin Xia et al.
Jiandong Pan et al.
Accurate crop disease classification is essential for disease management to support food security. Deep learning has shown its high classification accuracy in image-based disease identification. However, the deep learning approach usually n...
Zijian Wang,Radek Zenkl,Latifa Greche et al.
Zijian Wang et al.
Computer vision is increasingly used in farmers' fields and agricultural experiments to quantify important traits. Imaging setups with a sub-millimeter ground sampling distance enable the detection and tracking of plant features, including ...
PhenoRob-F: An autonomous ground-based robot for high-throughput phenotyping of field crops [0.03%]
PhenoRob-F：一种用于田间作物高通量表型分析的自主地面机器人
Meng Yang,Zhengda Li,Jiale Cui et al.
Meng Yang et al.
Understanding the genetic basis of quantitative traits related to crop growth, yield, and stress response requires the acquisition of large-scale, high-quality phenotypic datasets. High-throughput phenotyping platforms have become effective...
Exploring the depth of the maize canopy LAI detected by spectroscopy based on simulations and in situ measurements [0.03%]
基于模拟和实地测量的光谱法探测玉米冠层LAI及其深度研究
Jinpeng Cheng,Jiao Wang,Dan Zhao et al.
Jinpeng Cheng et al.
The vertical distribution of leaves plays a crucial role in the growth process of maize. Understanding the vertical spectral characteristics of maize leaves is crucial for monitoring their growth. However, accurate estimation of the vertica...
LenRuler: a rice-centric method for automated radicle length measurement with multicrop validation [0.03%]
基于水稻的自动化下胚轴长度测量方法及多作物验证
Jinfeng Zhao,Zeyu Hou,Hua Hua et al.
Jinfeng Zhao et al.
Radicle length is a critical indicator of seed vigor, germination capacity, and seedling growth potential. However, existing measurement methods face challenges in automation, efficiency, and generalizability, often requiring manual interve...
Development of an automated phenotyping platform and identification of a novel QTL for drought tolerance in soybean [0.03%]
大豆抗旱表型平台的开发及抗旱新型QTL鉴定
Hakyung Kwon,Suk-Ha Lee,Moon Young Kim et al.
Hakyung Kwon et al.
Deep understanding of slow-wilting is essential for developing drought-tolerant crops. Existing approaches to measure transpiration rates are difficult to apply to large populations due to their high cost and low throughput. To overcome the...