BioDesign Research Table of Contents 2025

Multi-granularity alignment for crop diseases detection

原文链接：https://doi.org/10.1016/j.plaphe.2025.100001

面向作物病害检测的多粒度对齐方法

 

3D-NOD: 3D new organ detection in plant growth by a spatiotemporal point cloud deep segmentation framework

原文链接：https://doi.org/10.1016/j.plaphe.2025.100002

微信导读：Plant Phenomics | 东华大学以时空点云深度分割框架在植物生长中检测3D新器官

 

LKNet: Enhancing rice canopy panicle counting accuracy with an optimized point-based framework

原文链接：https://doi.org/10.1016/j.plaphe.2025.100003

微信导读：Plant Phenomics | 中国水稻研究所开发跨穗型水稻穗数无损统计新方法：高通量计数算法驱动精准表型解析

 

Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping

原文链接：https://doi.org/10.1016/j.plaphe.2025.100004

融合KGCNN、迁移学习与三维辐射传输模型的玉米真叶面积指数动态反演

 

The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling

原文链接：https://doi.org/10.1016/j.plaphe.2025.100005

微信导读：Plant Phenomics | 华中科技大学借深度之力，破标注之困：DAM 开启作物分割高效新范式

 

Integrating crop models, single nucleotide polymorphism, and climatic indices to develop genotype-environment interaction model: A case study on rice flowering time

原文链接：https://doi.org/10.1016/j.plaphe.2025.100007

整合作物模型、单核苷酸多态性与气候指数构建基因型 - 环境互作模型 —— 以水稻开花期为研究案例

 

Identification of phenotypic and transcriptomic signatures underpinning maize crown root systems

原文链接：https://doi.org/10.1016/j.plaphe.2025.100008

微信导读：Plant Phenomics | 玉米冠根系表型及转录组特征识别的机制研究

 

In vivo tracing the trajectory of cell lignification in pear fruit during development using click chemistry imaging

原文链接：https://doi.org/10.1016/j.plaphe.2025.100010

基于点击化学成像技术的梨果实发育过程中细胞木质化动态轨迹活体追踪

 

Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation

原文链接：https://doi.org/10.1016/j.plaphe.2025.100011

融合无人机遥感与半监督学习的玉米幼苗早期监测及定位技术

 

Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging

原文链接：https://doi.org/10.1016/j.plaphe.2025.100012

微信导读：Plant Phenomics | 利用叶绿素荧光成像技术对水稻稻瘟病和褐斑病进行症状前诊断

 

Retrieving the chlorophyll content of individual apple trees by reducing canopy shadow impact via a 3D radiative transfer model and UAV multispectral imagery

原文链接：https://doi.org/10.1016/j.plaphe.2025.100015

基于三维辐射传输模型与无人机多光谱影像消除冠层阴影影响的单株苹果树叶绿素含量反演

 

A hybrid method for water stress evaluation of rice with the radiative transfer model and multidimensional imaging

原文链接：https://doi.org/10.1016/j.plaphe.2025.100016

融合辐射传输模型与多维成像技术的水稻水分胁迫评估方法

 

Genetic resolution of multi-level plant height in common wheat using the 3D canopy model from ultra-low altitude unmanned aerial vehicle imagery

原文链接：https://doi.org/10.1016/j.plaphe.2025.100017

基于超低空无人机影像三维冠层模型的普通小麦株高多水平遗传解析

 

Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition

原文链接：https://doi.org/10.1016/j.plaphe.2025.100018

融合集成学习与精细空间竞争分析的杉木冠幅极值拟合方法

 

RGB imaging-based evaluation of waterlogging tolerance in cultivated and wild chrysanthemums

原文链接：https://doi.org/10.1016/j.plaphe.2025.100019

基于 RGB 成像的栽培菊与野生菊耐涝性评估

 

Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula

原文链接：https://doi.org/10.1016/j.plaphe.2025.100020

微信导读：Plant Phenomics 封面文章 | 中国科学院植物研究所种康院士团队创建了苜蓿耐盐表型高通量精准鉴定技术体系

 

Segmenting vegetation from UAV images via spectral reconstruction in complex field environments

原文链接：https://doi.org/10.1016/j.plaphe.2025.100021

微信导读：Plant Phenomics | 贵州大学基于光谱重建的复杂田间环境下无人机影像植被分割

 

A deep learning-based micro-CT image analysis pipeline for nondestructive quantification of the maize kernel internal structure

原文链接：https://doi.org/10.1016/j.plaphe.2025.100022

微信导读：Plant Phenomics | 北京市农林科学院基于深度学习助力玉米籽粒内部结构无损量化分析

 

3D reconstruction enables high-throughput phenotyping and quantitative genetic analysis of phyllotaxy

原文链接：https://doi.org/10.1016/j.plaphe.2025.100023

微信导读：Plant Phenomics | 高粱叶序三维重建的高通量表型分析与数量遗传研究

 

PlantCaFo: An efficient few-shot plant disease recognition method based on foundation models

原文链接：https://doi.org/10.1016/j.plaphe.2025.100024

微信导读：Plant Phenomics | 华中农业大学作物表型团队基于大模型助力植物病害识别方法研究

 

Combining UAV multisensor field phenotyping and genome-wide association studies to reveal the genetic basis of plant height in cotton (Gossypium hirsutum)

原文链接：https://doi.org/10.1016/j.plaphe.2025.100026

微信导读：Plant Phenomics | 中国农科院西部农业研究中心杨作仁团队通过大田表型组与基因组学技术揭示棉花株高调控的遗传基础

 

IMP2RIS, an automated plant root PET radiotracer gas delivery system for in-soil visualization of symbiotic N2 fixation in nodulated roots of soybean plants via PET imaging

原文链接：https://doi.org/10.1016/j.plaphe.2025.100027

微信导读：Plant Phenomics | IMP²RIS：一种用于大豆根瘤共生固氮土壤原位PET成像的自动化系统

 

CVRP: A rice image dataset with high-quality annotations for image segmentation and plant phenomics research

原文链接：https://doi.org/10.1016/j.plaphe.2025.100025

CVRP数据集：面向图像分割与植物表型组学研究的高质量标注水稻图像数据集

 

VRoot: A VR-Based application for manual root system architecture reconstruction

原文链接：https://doi.org/10.1016/j.plaphe.2025.100013

微信导读：Plant Phenomics | VRoot：基于虚拟现实技术的根系构型人工重建系统

 

Design and implementation of a high-throughput field phenotyping robot for acquiring multisensor data in wheat

原文链接：https://doi.org/10.1016/j.plaphe.2025.100014

小麦多源传感数据获取的高通量表型田间机器人设计与实现

 

Soybean yield estimation and lodging discrimination based on lightweight UAV and point cloud deep learning

原文链接：https://doi.org/10.1016/j.plaphe.2025.100028

基于轻量级无人机与点云深度学习的大豆产量估测及倒伏判别

 

Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing

原文链接：https://doi.org/10.1016/j.plaphe.2025.100029

微信导读：Plant Phenomics | Spotibot：将深度学习和移动计算相结合，对玫瑰花瓣上的葡萄球菌病变进行快速评分

 

Drought stress responses deconstructed: A comprehensive approach for Norway spruce seedlings using high-throughput phenotyping with integrated metabolomics and transcriptomics

原文链接：https://doi.org/10.1016/j.plaphe.2025.100037

微信导读：Plant Phenomics | 基于高通量表型组学整合代谢组与转录组的挪威云杉幼苗综合研究

 

Winter wheat yield prediction using UAV-based multivariate time series data and variate-independent tokenization

原文链接：https://doi.org/10.1016/j.plaphe.2025.100039

微信导读：Plant Phenomics | 基于无人机多变量时序数据与变量独立分词的冬小麦产量预测

 

MADI: A multispectral automated dynamic imager to monitor plant health

原文链接：https://doi.org/10.1016/j.plaphe.2025.100040

微信导读：Plant Phenomics | MADI：用于监测植物健康的多光谱自动化动态成像平台

 

Monitoring and Risk Prediction of Low-Temperature Stress in Strawberries through Fusion of Multisource Phenotypic Spatial Variability Features

原文链接：https://doi.org/10.1016/j.plaphe.2025.100041

微信导读：Plant Phenomics | 南京信息工程大学智慧农业气象团队发表融合空间变异特征的草莓低温灾害监测预警研究

 

SSP-MambaNet: An automated system for detection and counting of missing seedlings in glass greenhouse-grown virus-free strawberry

原文链接：https://doi.org/10.1016/j.plaphe.2025.100043

微信导读：Plant Phenomics | 西北农林科技大学提出SSP-MambaNet：玻璃温室脱毒草莓种苗自动化缺苗检测与计数系统

 

Determination of optimal sampling time of grape embryo rescue based on near infrared spectroscopy combined with machine learning

原文链接：https://doi.org/10.1016/j.plaphe.2025.100044

基于近红外光谱结合机器学习的葡萄胚挽救最佳取样时间判定

 

High-Throughput Field Phenotyping Using Unmanned Aerial Vehicles (UAVs) for Rapid Estimation of Photosynthetic Traits

原文链接：https://doi.org/10.1016/j.plaphe.2025.100045

微信导读：Plant Phenomics | 南京农业大学菊花遗传与种质创新团队利用无人机遥感实现菊花光合参数快速估测

 

Analysis of variance and its sources in UAV-based multi-view thermal imaging of wheat plots

原文链接：https://doi.org/10.1016/j.plaphe.2025.100046

基于无人机多视角热成像的小麦样区方差及其来源分析

 

PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments

原文链接：https://doi.org/10.1016/j.plaphe.2025.100047

微信导读：Plant Phenomics | PhenoGazer：一种高通量植物表型系统，用于追踪受控环境中的植物胁迫响应

 

TPDNet: Triple phenotype deepen networks for monocular 3D object detection of melons and fruits in fields

原文链接：https://doi.org/10.1016/j.plaphe.2025.100048

TPDNet：面向田间瓜果单目三维目标检测的三重表型增强网络

 

Automated 3D Segmentation of Plant Organs via the Plant-MAE: A Self-Supervised Learning Framework

原文链接：https://doi.org/10.1016/j.plaphe.2025.100049

微信导读：Plant Phenomics | 一种基于自监督学习的植物点云器官分割框架——Plant-MAE

 

A scalable and efficient UAV-based pipeline and deep learning framework for phenotyping sorghum panicle morphology from point clouds

原文链接：https://doi.org/10.1016/j.plaphe.2025.100050

微信导读：Plant Phenomics | 基于无人机和深度学习的高粱穗形态分析

 

RGB imaging and computer vision-based approaches for identifying spike number loci for wheat

原文链接：https://doi.org/10.1016/j.plaphe.2025.100051

微信导读：Plant Phenomics | AI鉴定麦穗，实现基因发掘与标记开发：基于RGB成像与计算机视觉的小麦穗数精准鉴定与基因发掘

 

PodNet: Pod real-time instance segmentation in pre-harvest soybean fields

原文链接：https://doi.org/10.1016/j.plaphe.2025.100052

微信导读：Plant Phenomics | 中国农科院农业信息研究所基于收获前大豆田间高通量表型分析，PodNet助力豆荚实时实例分割

 

Syndrome “basses richesses” disease induced structural deformations and sectorial distribution of photoassimilates in sugar beet taproot revealed by combined MRI-PET imaging

原文链接：https://doi.org/10.1016/j.plaphe.2025.100053

微信导读：Plant Phenomics封面文章 | 利用MRI-PET成像揭示“低糖综合征”病害对甜菜主根结构变形及光合同化物分布的影响

 

Boosting leaf trait estimation from reflectance spectra by elucidating the transferability of PLSR models

原文链接：https://doi.org/10.1016/j.plaphe.2025.100054

微信导读：Plant Phenomics | 中国科学院植物研究所揭示叶片光谱模型跨区域适用性的影响因素

 

XFruitSeg—A general plant fruit segmentation model based on CT imaging

原文链接：https://doi.org/10.1016/j.plaphe.2025.100055

XFruitSeg：基于CT成像的通用型植物果实分割模型

 

SMICGS: A novel snapshot multispectral imaging sensor for quantitative monitoring of crop growth

原文链接：https://doi.org/10.1016/j.plaphe.2025.100056

SMICGS：一款用于作物生长定量监测的新型快照式多光谱成像传感器

 

Location-guided lesions representation learning via image generation for assessing plant leaf diseases severity

原文链接：https://doi.org/10.1016/j.plaphe.2025.100058

基于图像生成的位置引导型病斑表征学习及其植物叶片病害严重度评估应用

 

A novel constrained spectral matching approach for extending UAV multispectral reflectance measurements and estimating nitrogen and phosphorus contents in wetland vegetation species

原文链接：https://doi.org/10.1016/j.plaphe.2025.100059

微信导读：Plant Phenomics | 桂林理工大学提出约束性辐射传输的光谱匹配方法估算湿地植被氮和磷含量

 

Self-adaptive individual tree modeling based on skeleton graph optimization and fractal self-similarity

原文链接：https://doi.org/10.1016/j.plaphe.2025.100060

微信导读：Plant Phenomics | 东华理工大学基于骨架图形结构优化与分形自相似的单木自适应建模

 

FreezeNet: A Lightweight Model for Enhancing Freeze Tolerance Assessment and Genetic Analysis in Wheat

原文链接：https://doi.org/10.1016/j.plaphe.2025.100061

微信导读：Plant Phenomics | 中国科学院遗传与发育生物学研究所基于轻量化模型的小麦抗冻性评估与遗传分析

 

Influence of fertilization on the dynamics of energy use in wheat

原文链接：https://doi.org/10.1016/j.plaphe.2025.100063

施肥对小麦能量利用动态变化的影响

 

An unsupervised semantic segmentation network for wood–leaf separation in 3D point clouds

原文链接：https://doi.org/10.1016/j.plaphe.2025.100064

微信导读：Plant Phenomics | 告别人工标注！中南林业科技大学研究团队提出无监督3D点云木叶分离新方法

 

Limit and enhancing potential of canopy photosynthesis for greenhouse tomato: a model analysis in different climatic environments

原文链接：https://doi.org/10.1016/j.plaphe.2025.100069

温室番茄冠层光合作用的限制因素及提升潜力：基于不同气候环境的模型分析

 

Insights of freshness phenotype detection for postharvest fruit and vegetables

原文链接：https://doi.org/10.1016/j.plaphe.2025.100042

微信导读：Plant Phenomics | 上海市农业科学院在果蔬新鲜度检测领域取得新进展

 

Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learning

原文链接：https://doi.org/10.1016/j.plaphe.2025.100038

基于光谱图像分析与机器学习的除草剂活性及作用方式快速诊断

 

Assessment of Forest Loss Following Snow and Ice Storms Using the LiDAR Forest Structure Change Index

原文链接：https://doi.org/10.1016/j.plaphe.2025.100057

微信导读：Plant Phenomics | 激光雷达赋能森林受灾评估：华中农业大学林业遥感团队提出新型指标评估森林冰雪灾害损失

 

Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift++

原文链接：https://doi.org/10.1016/j.plaphe.2025.100065

微信导读：Plant Phenomics | 广西大学提出基于PointNeXt和Quickshift++的自动三维植物器官实例分割方法

 

Near-infrared spectroscopy as a high-throughput phenotyping method for fusiform rust resistance in loblolly pine

原文链接：https://doi.org/10.1016/j.plaphe.2025.100066

微信导读：Plant Phenomics | 利用近红外光谱进行火炬松梭形锈病抗性高通量表型鉴定

 

Bayesian adaptive sampling: A smart approach for affordable germination phenotyping

原文链接：https://doi.org/10.1016/j.plaphe.2025.100067

微信导读：Plant Phenomics | 贝叶斯自适应采样：一种经济高效的种子萌发表型分析智能方法

 

Performance of stacking machine learning and volume model for improving corn above ground biomass prediction

原文链接：https://doi.org/10.1016/j.plaphe.2025.100068

微信导读：Plant Phenomics | 中国农业大学提出基于机器学习和体积模型的玉米地上生物量预测方法

 

Integrating 3D Canopy Reconstruction to Assess Photosynthetic and Carbon Sequestration Responses of Larch Plantations to Drought Stress

原文链接：https://doi.org/10.1016/j.plaphe.2025.100070

微信导读：Plant Phenomics | 中国林业科学研究院林业研究所利用三维可视化树冠重建揭示落叶松抗旱固碳机制

 

Generation of labeled leaf point clouds for plants trait estimation

原文链接：https://doi.org/10.1016/j.plaphe.2025.100071

微信导读：Plant Phenomics | 用于植物性状估计的标注叶片点云生成

 

A keypoint-based method for detecting weed growth points in corn field environments

原文链接：https://doi.org/10.1016/j.plaphe.2025.100072

微信导读：Plant Phenomics | 山东农业大学以生长点检测驱动精准除草：一种基于关键点的玉米田间杂草生长点检测方法

 

CitrusGAN: sparse-view X-ray CT reconstruction for citrus based on generative adversarial networks

原文链接：https://doi.org/10.1016/j.plaphe.2025.100082

微信导读：Plant Phenomics | 华中农业大学提出基于生成对抗网络的柑橘稀疏视角CT三维重建新方法

 

Field phenotyping for soybean density tolerance using time-series prediction and dynamic modeling

原文链接：https://doi.org/10.1016/j.plaphe.2025.100083

基于时序预测与动态建模的大豆耐密性田间表型鉴定

 

PhenoRob-F: An autonomous ground-based robot for high-throughput phenotyping of field crops

原文链接：https://doi.org/10.1016/j.plaphe.2025.100085

微信导读：Plant Phenomics | PhenoRob-F：华中农业大学研制一种自走式田间作物表型高通量检测机器人

 

FSEA: Incorporating domain-specific prior knowledge for few-shot weed detection

原文链接：https://doi.org/10.1016/j.plaphe.2025.100086

FSEA：融合领域先验知识的小样本杂草检测方法

 

Panoptic segmentation for complete labeling of fruit microstructure in 3D micro-CT images with deep learning

原文链接：https://doi.org/10.1016/j.plaphe.2025.100087

微信导读：Plant Phenomics | 利用深度学习对3D微型CT图像中的水果微观结构进行全景分割实现完整标记

 

Seeing the unseen: A novel approach to extract latent plant root traits from digital images

原文链接：https://doi.org/10.1016/j.plaphe.2025.100088

微信导读：Plant Phenomics | 洞察 “未见之形”：一种从数字图像中提取植物根系潜在性状的新方法

 

RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds

原文链接：https://doi.org/10.1016/j.plaphe.2025.100090

微信导读：Plant Phenomics | 中南林业科技大学周国雄团队提出一种基于无人机LiDAR点云的橡胶树个体分割与结构参数提取方法

 

Multi-modal few-shot learning for anthesis prediction of individual wheat plants

原文链接：https://doi.org/10.1016/j.plaphe.2025.100091

基于多模态小样本学习的单株小麦开花期预测

 

TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud

原文链接：https://doi.org/10.1016/j.plaphe.2025.100093

TM-WSNet：基于无人机激光雷达点云的橡胶树单株精准分割方法

 

ChatLeafDisease: a chain-of-thought prompting approach for crop disease classification using large language models

原文链接：https://doi.org/10.1016/j.plaphe.2025.100094

ChatLeafDisease：基于思维链提示学习的大语言模型作物病害分类方法

 

Volumetric Deep Learning-Based Precision Phenotyping of Gene-Edited Tomato for Vertical Farming

原文链接：https://doi.org/10.1016/j.plaphe.2025.100095

微信导读：Plant Phenomics | 基于三维深度学习的基因编辑番茄精准表型鉴定

 

Analysis of Wheat Spike Morphological Traits by 2D Imaging

原文链接：https://doi.org/10.1016/j.plaphe.2025.100096

微信导读：Plant Phenomics | 中国科学院遗传与发育生物学研究所基于二维成像的小麦穗部形态性状解析

 

De-occlusion models and diffusion-based data augmentation for size estimation of on-plant oriental melons

原文链接：https://doi.org/10.1016/j.plaphe.2025.100097

微信导读：Plant Phenomics | 首尔大学攻克枝叶遮挡难题，实现东方甜瓜的精准尺寸测量

 

KDOSS-net: Knowledge distillation-based outpainting and semantic segmentation network for crop and weed images

原文链接：https://doi.org/10.1016/j.plaphe.2025.100098

微信导读：Plant Phenomics | KDOSS-Net：一种基于知识蒸馏的作物与杂草图像外延生成与语义分割网络

 

Exploring the depth of the maize canopy LAI detected by spectroscopy based on simulations and in situ measurements

原文链接：https://doi.org/10.1016/j.plaphe.2025.100100

基于模拟与原位观测的光谱反演玉米冠层叶面积指数深度特征研究

 

Precise Image Color Correction Based on Dual Unmanned Aerial Vehicle Cooperative Flight

原文链接：https://doi.org/10.1016/j.plaphe.2025.100101

微信导读：Plant Phenomics | 浙江大学岑海燕团队提出基于双无人机协同飞行的图像颜色精准校正新方法

 

Development of an automated phenotyping platform and identification of a novel QTL for drought tolerance in soybean

原文链接：https://doi.org/10.1016/j.plaphe.2025.100102

高通量自动化表型平台的构建及大豆耐旱性新 QTL 的定位

 

Predictive modeling, pattern recognition, and spatiotemporal representations of plant growth in simulated and controlled environments: A comprehensive review

原文链接：https://doi.org/10.1016/j.plaphe.2025.100089

微信导读：Plant Phenomics 综述 | 预测建模、模式识别以及模拟与控制环境中植物生长的时空表征

 

The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset

原文链接：https://doi.org/10.1016/j.plaphe.2025.100084

微信导读：Plant Phenomics | 全球小麦全器官语义分割（GWFSS）数据集发布

 

Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms

原文链接：https://doi.org/10.1016/j.plaphe.2025.100099

微信导读：Plant Phenomics | 南京农业大学联合多家单位发布全球水稻器官级分割AI数据集RiceSEG

 

LenRuler: a rice-centric method for automated radicle length measurement with multicrop validation

原文链接：https://doi.org/10.1016/j.plaphe.2025.100103

LenRuler：一种以水稻为核心的胚根长度自动化测定方法及多作物验证

 

Deep learning in plant phenotyping: the first ten years

原文链接：https://doi.org/10.1016/j.plaphe.2025.100062

深度学习在植物表型组学中的应用：首个十年发展综述

 

From leaf to canopy: Inversion of lettuce pigment distribution using hyperspectral imaging technology combined with deep learning algorithms

原文链接：https://doi.org/10.1016/j.plaphe.2025.100104

微信导读：Plant Phenomics | 北京市农林科学院郭新宇团队从叶片到冠层：高光谱成像技术结合深度学习算法反演生菜色素分布

 

Design of a binocular multispectral stereo imaging system and its application in plant phenotyping

原文链接：https://doi.org/10.1016/j.plaphe.2025.100105

双目多光谱立体成像系统的设计及其在植物表型组学中的应用

 

IPENS: Interactive unsupervised framework for rapid plant phenotyping extraction via NeRF-SAM2 fusion

原文链接：https://doi.org/10.1016/j.plaphe.2025.100106

微信导读：Plant Phenomics | 中国科学院合肥物质院智能所黄河团队提出面向育种场景的植物表型高精度三维提取方法

 

Establishment of a high-throughput field defoliation data survey strategy combined with genome-wide association studies to reveal the genetic basis of defoliation in cotton

原文链接：https://doi.org/10.1016/j.plaphe.2025.100109

微信导读：Plant Phenomics | 中国农业科学院西部农业研究中心融合大田表型组与基因组学分析技术揭示棉花脱叶遗传基础

 

Nondestructive individual tree aboveground biomass estimation using a hierarchical Bayesian approach in combination with individual tree competition indices

原文链接：https://doi.org/10.1016/j.plaphe.2025.100120

基于分层贝叶斯方法结合单木竞争指数的林木地上生物量无损估算

 

SegPPD-FS: Segmenting plant pests and diseases in the wild using few-shot learning

原文链接：https://doi.org/10.1016/j.plaphe.2025.100121

SegPPD-FS：基于小样本学习的野外植物病虫害图像分割方法

 

Three-dimensional reconstruction of densely planted rice seedlings based on MultiView images

原文链接：https://doi.org/10.1016/j.plaphe.2025.100122

微信导读：Plant Phenomics | 东北农业大学苏中滨团队基于多视角图像的水稻幼苗三维重建与表型提取方法

 

High-throughput plant phenotyping identifies and discriminates biotic and abiotic stresses in tomato

原文链接：https://doi.org/10.1016/j.plaphe.2025.100124

微信导读：Plant Phenomics | 高通量植物表型识别并区分番茄的生物与非生物胁迫

 

DeepSpecN: A new hybrid method combining PROSPECT-PRO and Conv-Transformer to estimate leaf nitrogen content from leaf reflectance

原文链接：https://doi.org/10.1016/j.plaphe.2025.100125

DeepSpecN：一种结合 PROSPECT-PRO 模型与卷积变换器的叶反射光谱估测叶片氮含量新方法

 

Aerial imagery and Segment Anything Model for architectural trait phenotyping to support genetic analysis in peanut breeding

原文链接：https://doi.org/10.1016/j.plaphe.2025.100126

微信导读：Plant Phenomics | 航拍影像与万物分割模型（SAM）用于花生株型性状表型鉴定，助力花生育种中的遗传分析

 

Detecting nematodes in potato plants an explainable machine learning approach for detection of potato cyst nematode infections using hyperspectral imaging

原文链接：https://doi.org/10.1016/j.plaphe.2025.100127

基于可解释机器学习的马铃薯植株线虫检测 —— 高光谱成像技术在马铃薯胞囊线虫侵染识别中的应用

 

The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (Oryza sativa L.)

原文链接：https://doi.org/10.1016/j.plaphe.2025.100128

基于遥感吸收系数的新型归一化动态调整植被指数（NDAVI）在作物实际光合有效辐射吸收比例（fAPAR）估测中的作用 —— 以水稻（Oryza sativa L.）为研究案例

 

CornPheno: Phenotyping corn ear kernels in the wild via point query transformer

原文链接：https://doi.org/10.1016/j.plaphe.2025.100129

CornPheno：基于点查询变换器的野外玉米果穗籽粒表型鉴定方法

 

Combining rEW-2DCOS and mechanism-guided adaptive ensemble learning to improve the retrieval of leaf nitrogen, phosphorus, and potassium contents

原文链接：https://doi.org/10.1016/j.plaphe.2025.100130

融合 rEW-2DCOS 与机制引导自适应集成学习的叶片氮磷钾含量反演精度提升方法

 

panomiX: Investigating mechanisms of trait emergence through multi-omics data integration

原文链接：https://doi.org/10.1016/j.plaphe.2025.100131

panomiX：基于多组学数据整合解析性状形成机制的研究方法

 

Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust

原文链接：https://doi.org/10.1016/j.plaphe.2025.100134

微信导读：Plant Phenomics | 提升玉米锈病抗性评估效率：基于遥感的表型预测模型综合比较

 

Leaf bidirectional reflectance distribution function (BRDF) prediction with phenotypic traits in four species: Development of a novel measuring and analyzing framework

原文链接：https://doi.org/10.1016/j.plaphe.2025.100135

微信导读：Plant Phenomics | 基于表型性状的叶片双向反射率分布函数（BRDF）预测：新的测量及分析框架开发

 

Structural parameter determination and pruning pattern analysis of pear tree shoots for dormant pruning

原文链接：https://doi.org/10.1016/j.plaphe.2025.100136

梨树休眠期修剪枝梢的结构参数测定与修剪模式分析

 

Rapid acquisition of ionomic and morphological data from plant seeds through fast X-ray fluorescence microscopy and computer vision

原文链接：https://doi.org/10.1016/j.plaphe.2025.100138

基于快速 X 射线荧光显微技术与计算机视觉的植物种子离子组及形态学数据快速获取方法

 

UAV-LiDAR high-throughput time-series phenotyping and genome-wide association analysis reveal the genetic basis of plant height in peanut (Arachis hypogaea L.)

原文链接：https://doi.org/10.1016/j.plaphe.2025.100139

无人机激光雷达高通量时序表型鉴定结合全基因组关联分析解析花生（Arachis hypogaea L.）株高遗传基础

 

Grading evaluation of haploid fertility restoration traits based on inception-ResNet in maize

原文链接：https://doi.org/10.1016/j.plaphe.2025.100140

基于 Inception-ResNet 模型的玉米单倍体育性恢复性状分级鉴定

 

Multi-trait spectral modeling for estimating grapevine leaf traits and nutrients

原文链接：https://doi.org/10.1016/j.plaphe.2025.100142

微信导读：Plant Phenomics | 多性状光谱建模在葡萄叶片性状及养分估算中的应用

 

RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability

原文链接：https://doi.org/10.1016/j.plaphe.2025.100143

微信导读：Plant Phenomics | RootXplorer：基于计算机视觉的3D表型分析平台，用于根系穿透能力的高通量定量

 

WPDSI: A deep learning method for wheat phenology detection from single-temporal images

原文链接：https://doi.org/10.1016/j.plaphe.2025.100144

WPDSI：一种基于单时相影像的小麦物候期深度学习检测方法

 

3D reconstruction of root system architecture in urban forest parks based on ground penetrating radar instantaneous amplitude analysis

原文链接：https://doi.org/10.1016/j.plaphe.2025.100147

基于探地雷达瞬时振幅分析的城市森林公园植物根系构型三维重建

 

LeafGen: Structure-aware Leaf Image Generation for Annotation-free Leaf Instance Segmentation

原文链接：https://doi.org/10.1016/j.plaphe.2025.100092

LeafGen：基于结构感知叶片图像生成的无标注叶片实例分割方法

 

3DPotatoTwin: a paired potato tuber dataset for 3D multi-sensory fusion

原文链接：https://doi.org/10.1016/j.plaphe.2025.100123

微信导读：Plant Phenomics 封面文章 | 东京大学发布用于多传感器融合的马铃薯块茎三维配对数据集3DPotatoTwin

 

Deep learning for three-dimensional (3D) plant phenomics

原文链接：https://doi.org/10.1016/j.plaphe.2025.100107

微信导读：Plant Phenomics | 南京农业大学综述深度学习在3D植物表型组学中的重要作用

 

A survey on 3D reconstruction techniques in plant phenotyping: From classical methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and beyond

原文链接：https://doi.org/10.1016/j.plaphe.2025.100137

植物表型组学三维重建技术综述：从传统方法到神经辐射场（NeRF）、三维高斯溅射（3DGS）及前沿进展