A High-Throughput Method for Accurate Extraction of Intact Rice Panicle Traits [0.03%]
一种用于准确提取水稻穗整体性状的高通量方法
Jian Sun,Zhengwei Ren,Jiale Cui et al.
Jian Sun et al.
Rice panicle traits serve as critical indicators of both yield potential and germplasm resource quality. However, traditional manual measurements of these traits, which typically involve threshing, are not only laborious and time-consuming ...
Maximizing the Radiation Use Efficiency by Matching the Leaf Area and Leaf Nitrogen Vertical Distributions in a Maize Canopy: A Simulation Study [0.03%]
基于叶片面积和叶氮垂直分布匹配的玉米群体光能利用效率模型模拟研究
Baiyan Wang,Shenghao Gu,Junhao Wang et al.
Baiyan Wang et al.
The radiation use efficiency (RUE) is one of the most important functional traits determining crop productivity. The coordination of the vertical distribution of light and leaf nitrogen has been proven to be effective in boosting the RUE fr...
Phenotyping of Drought-Stressed Poplar Saplings Using Exemplar-Based Data Generation and Leaf-Level Structural Analysis [0.03%]
基于样本的干旱胁迫数据生成和叶水平结构分析表型研究_poplar幼苗
Lei Zhou,Huichun Zhang,Liming Bian et al.
Lei Zhou et al.
Drought stress is one of the main threats to poplar plant growth and has a negative impact on plant yield. Currently, high-throughput plant phenotyping has been widely studied as a rapid and nondestructive tool for analyzing the growth stat...
High-Throughput Yield Prediction of Diallele Crossed Sugar Beet in a Breeding Field Using UAV-Derived Growth Dynamics [0.03%]
基于无人机的甘庶育种田多系杂交高通量化性预测模型研究
Kazunori Taguchi,Wei Guo,James Burridge et al.
Kazunori Taguchi et al.
Data-driven techniques could be used to enhance decision-making capacity of breeders and farmers. We used an RGB camera on an unmanned aerial vehicle (UAV) to collect time series data on sugar beet canopy coverage (CC) and canopy height (CH...
Lennard Roscher-Ehrig,Sven E Weber,Amine Abbadi et al.
Lennard Roscher-Ehrig et al.
Phenomic selection is a recent approach suggested as a low-cost, high-throughput alternative to genomic selection. Instead of using genetic markers, it employs spectral data to predict complex traits using equivalent statistical models. Phe...
Characterization and Identification of NPK Stress in Rice Using Terrestrial Hyperspectral Images [0.03%]
基于地面高光谱影像的水稻N/P/K胁迫识别与诊断研究进展
Jinfeng Wang,Yuhang Chu,Guoqing Chen et al.
Jinfeng Wang et al.
Due to nutrient stress, which is an important constraint to the development of the global agricultural sector, it is now vital to timely evaluate plant health. Remote sensing technology, especially hyperspectral imaging technology, has evol...
SCAG: A Stratified, Clustered, and Growing-Based Algorithm for Soybean Branch Angle Extraction and Ideal Plant Architecture Evaluation [0.03%]
基于分层、聚合和生长的豆角枝角提取及理想植株结构评价算法（SCAG）
Songyin Zhang,Yinmeng Song,Ran Ou et al.
Songyin Zhang et al.
Three-dimensional (3D) phenotyping is important for studying plant structure and function. Light detection and ranging (LiDAR) has gained prominence in 3D plant phenotyping due to its ability to collect 3D point clouds. However, organ-level...
StripeRust-Pocket: A Mobile-Based Deep Learning Application for Efficient Disease Severity Assessment of Wheat Stripe Rust [0.03%]
StripeRust-Pocket：一款基于移动端的深度学习软件，用于评估小麦条锈病害等级
Weizhen Liu,Yuxi Chen,Zhaoxin Lu et al.
Weizhen Liu et al.
Wheat stripe rust poses a marked threat to global wheat production. Accurate and effective disease severity assessments are crucial for disease resistance breeding and timely management of field diseases. In this study, we propose a practic...
Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss [0.03%]
低成本的边缘表型分析，用于高效检测包括子叶损失在内的过敏反应
Mathis Cordier,Pejman Rasti,Cindy Torres et al.
Mathis Cordier et al.
The use of low-cost depth imaging sensors is investigated to automate plant pathology tests. Spatial evolution is explored to discriminate plant resistance through the hypersensitive reaction involving cotyledon loss. A high temporal frame ...
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging [0.03%]
同步加速器X射线成像可视化和定量评估大豆根瘤功能结构
Alireza Nakhforoosh,Emil Hallin,Chithra Karunakaran et al.
Alireza Nakhforoosh et al.
The efficiency of N2-fixation in legume-rhizobia symbiosis is a function of root nodule activity. Nodules consist of 2 functionally important tissues: (a) a central infected zone (CIZ), colonized by rhizobia bacteria, which serves as the si...