Grain Protein Content Phenotyping in Rice via Hyperspectral Imaging Technology and a Genome-Wide Association Study [0.03%]
基于高光谱成像技术的水稻蛋白质含量表型分析及全基因组关联研究
Hengbiao Zheng,Weijie Tang,Tao Yang et al.
Hengbiao Zheng et al.
Efficient and accurate acquisition of the rice grain protein content (GPC) is important for selecting high-quality rice varieties, and remote sensing technology is an attractive potential method for this task. However, the majority of multi...
SDC-DeepLabv3+: Lightweight and Precise Localization Algorithm for Safflower-Harvesting Robots [0.03%]
面向菊花采摘机器人的轻量级精准定位算法SDC-DeepLabv3+
Zhenyu Xing,Zhenguo Zhang,Yunze Wang et al.
Zhenyu Xing et al.
Harvesting robots had difficulty extracting filament phenotypes for small, numerous filaments, heavy cross-obscuration, and similar phenotypic characteristics with organs. Robots experience difficulty in localizing under near-colored backgr...
DEKR-SPrior: An Efficient Bottom-Up Keypoint Detection Model for Accurate Pod Phenotyping in Soybean [0.03%]
高效的大豆结荚期芽孢表型分析的底部向上关键点检测模型DEKR-SPrior
Jingjing He,Lin Weng,Xiaogang Xu et al.
Jingjing He et al.
The pod and seed counts are important yield-related traits in soybean. High-precision soybean breeders face the major challenge of accurately phenotyping the number of pods and seeds in a high-throughput manner. Recent advances in artificia...
Segment Anything for Comprehensive Analysis of Grapevine Cluster Architecture and Berry Properties [0.03%]
基于Segment Anything的葡萄果穗结构及浆果性状的全面解析方法
Efrain Torres-Lomas,Jimena Lado-Bega,Guillermo Garcia-Zamora et al.
Efrain Torres-Lomas et al.
Grape cluster architecture and compactness are complex traits influencing disease susceptibility, fruit quality, and yield. Evaluation methods for these traits include visual scoring, manual methodologies, and computer vision, with the latt...
Detection and Identification of Tassel States at Different Maize Tasseling Stages Using UAV Imagery and Deep Learning [0.03%]
基于无人机影像和深度学习的玉米不同抽雄期穗部状态的检测与识别
Jianjun Du,Jinrui Li,Jiangchuan Fan et al.
Jianjun Du et al.
The tassel state in maize hybridization fields not only reflects the growth stage of the maize but also reflects the performance of the detasseling operation. Existing tassel detection models are primarily used to identify mature tassels wi...
UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation [0.03%]
面向产量和生物量估计的小麦群体动态监测无人机辅助系统
Yandong Yang,Qing Li,Yue Mu et al.
Yandong Yang et al.
Crop uniformity is a comprehensive indicator used to describe crop growth and is important for assessing crop yield and biomass potential. However, there is still a lack of continuous monitoring of uniformity throughout the growing season t...
From Neglecting to Including Cultivar-Specific Per Se Temperature Responses: Extending the Concept of Thermal Time in Field Crops [0.03%]
从忽视到包含特异性品种本身的温度响应：田间作物中生长起点温度概念的扩展
Lukas Roth,Martina Binder,Norbert Kirchgessner et al.
Lukas Roth et al.
Predicting plant development, a longstanding goal in plant physiology, involves 2 interwoven components: continuous growth and the progression of growth stages (phenology). Current models for winter wheat and soybean assume species-level gr...
Simulation of Automatically Annotated Visible and Multi-/Hyperspectral Images Using the Helios 3D Plant and Radiative Transfer Modeling Framework [0.03%]
基于Helios 3D植物和辐射传输建模框架的可见光及多/高光谱图像自动标注仿真研究
Tong Lei,Jan Graefe,Ismael K Mayanja et al.
Tong Lei et al.
Deep learning and multimodal remote and proximal sensing are widely used for analyzing plant and crop traits, but many of these deep learning models are supervised and necessitate reference datasets with image annotations. Acquiring these d...
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View [0.03%]
非侵入式生物胁迫表型组学在每个营养器官中的木质部植物素描视图
Libin Wu,Han Shao,Jiayi Li et al.
Libin Wu et al.
The last decades have witnessed a rapid development of noninvasive plant phenotyping, capable of detecting plant stress scale levels from the subcellular to the whole population scale. However, even with such a broad range, most phenotyping...
Three-Dimensional Leaf Edge Reconstruction Combining Two- and Three-Dimensional Approaches [0.03%]
结合二维和三维方法的三维叶缘重建
Hidekazu Murata,Koji Noshita
Hidekazu Murata
Leaves, crucial for plant physiology, exhibit various morphological traits that meet diverse functional needs. Traditional leaf morphology quantification, largely 2-dimensional (2D), has not fully captured the 3-dimensional (3D) aspects of ...