Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition [0.03%]
基于精细空间竞争的马氏松冠幅最大高度综合集成预测模型
Zeyu Cui,Huaiqing Zhang,Yang Liu et al.
Zeyu Cui et al.
Accurate acquisition of forest spatial competition and tree 3D structural phenotype parameters is crucial for exploring tree-environment interactions. However, due to the occlusion between tree crowns, current UAV-based and ground-based LiD...
3D-NOD: 3D new organ detection in plant growth by a spatiotemporal point cloud deep segmentation framework [0.03%]
基于时空点云深度分割框架的植物生长过程中新器官检测（3D-NOD）
Dawei Li,Foysal Ahmed,Zhanjiang Wang
Dawei Li
Automatic plant growth monitoring is an important task in modern agriculture for maintaining high crop yield and boosting the breeding procedure. The advancement of 3D sensing technology has made 3D point clouds to be a better data form on ...
Segmenting vegetation from UAV images via spectral reconstruction in complex field environments [0.03%]
基于光谱重建的复杂环境下无人机影像植被提取方法研究
Zhixun Pei,Xingcai Wu,Xue Wu et al.
Zhixun Pei et al.
Segmentation of vegetation remote sensing images can minimize the interference of background, thus achieving efficient monitoring and analysis for vegetation information. The segmentation of vegetation poses a significant challenge due to t...
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping [0.03%]
基于KGCNN和迁移学习及三维辐射传输模型动态提取玉米真叶LAI用于表型分析
Dan Zhao,Guijun Yang,Tongyu Xu et al.
Dan Zhao et al.
Accurate and real-time monitoring true leaf area index (LAI) is an essential for assessing crop growth status and predicting yields. Conventional LAI inversion approaches have been constrained by insufficient data representativeness and env...
A novel constrained spectral matching approach for extending UAV multispectral reflectance measurements and estimating nitrogen and phosphorus contents in wetland vegetation species [0.03%]
一种新的约束光谱匹配方法，用于扩展无人机多光谱反射率测量并估算湿地植物种类中的氮和磷含量
Zhinan Lao,Bolin Fu,Weiwei Sun et al.
Zhinan Lao et al.
Canopy nitrogen content (CNC) and canopy phosphorus content (CPC) of vegetation in wetlands are key physiological traits, which can be associated with the process of wetland ecosystems. Because of the spectral signals obscured by pigments a...
VRoot: A VR-Based application for manual root system architecture reconstruction [0.03%]
基于VR的根系构型重建软件VRoot
Dirk N Baker,Tobias Selzner,Jens Henrik Göbbert et al.
Dirk N Baker et al.
This article describes an immersive virtual reality reconstruction tool for root system architectures from 3D scans of soil columns. In practical scenarios, experimental conditions will be adapted to fit the need of the data analysis pipeli...
XFruitSeg-A general plant fruit segmentation model based on CT imaging [0.03%]
基于CT成像的通用植物果实分割模型 XFruitSeg
Yuwei Lu,Xiaolong Kong,Li Yu et al.
Yuwei Lu et al.
Identification of the phenotypes of fruits is critical for understanding complex genetic traits. Computed tomography (CT) imaging technology enables the noninvasive acquisition of three-dimensional images of fruit interiors, thus providing ...
Analysis of variance and its sources in UAV-based multi-view thermal imaging of wheat plots [0.03%]
基于无人机多视角小麦热图的方差分析及其来源研究
Simon Treier,Lukas Roth,Andreas Hund et al.
Simon Treier et al.
Canopy temperature (CT) estimates from drone-based uncooled thermal cameras are prone to confounding effects, which affects the interpretability of CT estimates. Experimental sources of variance, such as genotypes and experimental treatment...
Thomas Depaepe,Aarón I Vélez Ramirez,Filip Vandenbussche et al.
Thomas Depaepe et al.
High-throughput phenotyping has a tremendous capacity to advance our understanding of plant biology. Integrating growth parameters with information on a plant's physiology through multispectral imaging can provide a holistic picture of its ...
Monitoring and Risk Prediction of Low-Temperature Stress in Strawberries through Fusion of Multisource Phenotypic Spatial Variability Features [0.03%]
基于多源表型空间变异特征的草莓低温逆境监测与风险预测
Nan Jiang,Zaiqiang Yang,Hanqi Zhang et al.
Nan Jiang et al.
Capturing crop physiological information by phenotyping is a key trend in smart agriculture. However, current studies underutilize spatial structural information in phenotypic imaging. To evaluate the feasibility of crop cold stress monitor...