JournalTOCs

Plant Phenomics
Number of Followers: 1

This is an Open Access Journal

Open Access journal
ISSN (Print) 2643-6515
Published by Science Partner Journals

[2 journals]

Lightweight Deep Learning Models for High-Precision Rice Seedling
Segmentation from UAV-Based Multispectral Images
- Authors: Panli ZhangXiaobo SunDonghui ZhangYuechao YangZhenhua Wang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-11-30T08:00:00Z
  DOI: 10.34133/plantphenomics.0123
  Issue No: Vol. 5 (2023)
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral
Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress
Phenotyping: A Review
- Authors: Yuanning ZhaiLei ZhouHengnian QiPan GaoChu Zhang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-11-30T08:00:00Z
  DOI: 10.34133/plantphenomics.0124
  Issue No: Vol. 5 (2023)
Semi-supervised Counting of Grape Berries in the Field Based on Density
Mutual Exclusion
- Authors: Yanan LiYuling TangYifei LiuDingrun Zheng
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-11-28T08:00:00Z
  DOI: 10.34133/plantphenomics.0115
  Issue No: Vol. 5 (2023)
A Pathway to Assess Genetic Variation of Wheat Germplasm by
Multidimensional Traits with Digital Images
- Authors: Tingting WuPeng ShenJianlong DaiYuntao MaYi Feng
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-11-22T08:00:00Z
  DOI: 10.34133/plantphenomics.0119
  Issue No: Vol. 5 (2023)
LiDAR Is Effective in Characterizing Vine Growth and Detecting Associated
Genetic Loci
- Authors: Elsa ChedidKomlan AviaVincent DumasLionel LeyNicolas ReibelGisèle ButterlinMaxime SomaRaul Lopez-LozanoFrédéric BaretDidier MerdinogluÉric Duchêne
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-11-17T08:00:00Z
  DOI: 10.34133/plantphenomics.0116
  Issue No: Vol. 5 (2023)
Point Cloud Completion of Plant Leaves under Occlusion Conditions Based on
Deep Learning
- Authors: Haibo ChenShengbo LiuCongyue WangChaofeng WangKangye GongYuanhong LiYubin Lan
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-11-15T08:00:00Z
  DOI: 10.34133/plantphenomics.0117
  Issue No: Vol. 5 (2023)
Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots
Pine Seedlings
- Authors: Jan StejskalJaroslav ČeplEva NeuwirthováOlusegun Olaitan AkinyemiJiří ChuchlíkDaniel ProvazníkMarkku KeinänenPetya CampbellJana AlbrechtováMilan LstibůrekZuzana Lhotáková
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-11-14T08:00:00Z
  DOI: 10.34133/plantphenomics.0111
  Issue No: Vol. 5 (2023)
Estimating Compositions and Nutritional Values of Seed Mixes Based on
Vision Transformers
- Authors: Shamprikta MehreenHervé GoëauPierre BonnetSophie ChauJulien ChampAlexis Joly
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-11-10T08:00:00Z
  DOI: 10.34133/plantphenomics.0112
  Issue No: Vol. 5 (2023)
Quantification of the Cumulative Shading Capacity in a Maize–Soybean
Intercropping System Using an Unmanned Aerial Vehicle
- Authors: Min LiPengcheng HuDi HeBangyou ZhengYan GuoYushan WuTao Duan
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-11-10T08:00:00Z
  DOI: 10.34133/plantphenomics.0095
  Issue No: Vol. 5 (2023)
GenoDrawing: An Autoencoder Framework for Image Prediction from SNP
Markers
- Authors: Federico Jurado-RuizDavid RousseauJuan A. BotíaMaria José Aranzana
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-11-03T07:00:00Z
  DOI: 10.34133/plantphenomics.0113
  Issue No: Vol. 5 (2023)
Small and Oriented Wheat Spike Detection at the Filling and Maturity
Stages Based on WheatNet
- Authors: Jianqing ZhaoYucheng CaiSuwan WangJiawei YanXiaolei QiuXia YaoYongchao TianYan ZhuWeixing CaoXiaohu Zhang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-10-30T07:00:00Z
  DOI: 10.34133/plantphenomics.0109
  Issue No: Vol. 5 (2023)
ExtSpecR: An R Package and Tool for Extracting Tree Spectra from UAV-Based
Remote Sensing
- Authors: Zhuo LiuMahmoud Al-SarayrehCong XuFederico TomasettoYanjie Li
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-10-16T07:00:00Z
  DOI: 10.34133/plantphenomics.0103
  Issue No: Vol. 5 (2023)
Panicle-Cloud: An Open and AI-Powered Cloud Computing Platform for
Quantifying Rice Panicles from Drone-Collected Imagery to Enable the
Classification of Yield Production in Rice
- Authors: Zixuan TengJiawei ChenJian WangShuixiu WuRiqing ChenYaohai LinLiyan ShenRobert JacksonJi ZhouChangcai Yang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-10-16T07:00:00Z
  DOI: 10.34133/plantphenomics.0105
  Issue No: Vol. 5 (2023)
Rotating Stomata Measurement Based on Anchor-Free Object Detection and
Stomata Conductance Calculation
- Authors: Fan ZhangBo WangFuhao LuXinhong Zhang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-10-09T07:00:00Z
  DOI: 10.34133/plantphenomics.0106
  Issue No: Vol. 5 (2023)
Crop/Plant Modeling Supports Plant Breeding: I. Optimization of
Environmental Factors in Accelerating Crop Growth and Development for
Speed Breeding
- Authors: Yi YuQin ChengFei WangYulei ZhuXiaoguang ShangAshley JonesHaohua HeYouhong Song
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-10-09T07:00:00Z
  DOI: 10.34133/plantphenomics.0099
  Issue No: Vol. 5 (2023)
Frost Damage Index: The Antipode of Growing Degree Days
- Authors: Flavian TschurrNorbert KirchgessnerAndreas HundLukas KronenbergJonas AndereggAchim WalterLukas Roth
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-10-04T07:00:00Z
  DOI: 10.34133/plantphenomics.0104
  Issue No: Vol. 5 (2023)
A Multiscale Point-Supervised Network for Counting Maize Tassels in the
Wild
- Authors: Haoyu ZhengXijian FanWeihao BoXubing YangTardi TjahjadiShichao Jin
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-10-02T07:00:00Z
  DOI: 10.34133/plantphenomics.0100
  Issue No: Vol. 5 (2023)
Phenotyping of Salvia miltiorrhiza Roots Reveals Associations between Root
Traits and Bioactive Components
- Authors: Junfeng ChenYun WangPeng DiYulong WuShi QiuZongyou LvYuqi QiaoYajing LiJingfu TanWeixu ChenMa YuPing WeiYing XiaoWansheng Chen
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-10-02T07:00:00Z
  DOI: 10.34133/plantphenomics.0098
  Issue No: Vol. 5 (2023)
Application of an Improved 2-Dimensional High-Throughput Soybean Root
Phenotyping Platform to Identify Novel Genetic Variants Regulating Root
Architecture Traits
- Authors: Rahul ChandnaniTongfei QinHeng YeHaifei HuKarim PanjvaniMutsutomo TokizawaJavier Mora MaciasAlma Armenta MedinaKarine BernardinoPierre-Luc PradierPankaj BanikAshlyn MooneyJurandir V. MagalhaesHenry T. NguyenLeon V. Kochian
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-09-28T07:00:00Z
  DOI: 10.34133/plantphenomics.0097
  Issue No: Vol. 5 (2023)
Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional
Plant Phenotyping for Trait Discovery
- Authors: Pengpeng ZhangJingyao HuangYuntao MaXiujuan WangMengzhen KangYouhong Song
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-09-28T07:00:00Z
  DOI: 10.34133/plantphenomics.0091
  Issue No: Vol. 5 (2023)
Screening of Ginkgo Individuals with Superior Growth Structural
Characteristics in Different Genetic Groups Using Terrestrial Laser
Scanning (TLS) Data
- Authors: Wen GaoXiaoming YangLin CaoFuliang CaoHao LiuQuan QiuMeng ShenPengfei YuYuhua LiuXin Shen
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-09-22T07:00:00Z
  DOI: 10.34133/plantphenomics.0092
  Issue No: Vol. 5 (2023)
Detection and Reconstruction of Passion Fruit Branches via CNN and
Bidirectional Sector Search
- Authors: Jiangchuan BaoGuo LiHaolan MoTingting QianMing ChenShenglian Lu
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-09-08T07:00:00Z
  DOI: 10.34133/plantphenomics.0088
  Issue No: Vol. 5 (2023)
Drone-Based Harvest Data Prediction Can Reduce On-Farm Food Loss and
Improve Farmer Income
- Authors: Haozhou WangTang LiErika NishidaYoichiro KatoYuya FukanoWei Guo
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-09-07T07:00:00Z
  DOI: 10.34133/plantphenomics.0086
  Issue No: Vol. 5 (2023)
Standardizing and Centralizing Datasets for Efficient Training of
Agricultural Deep Learning Models
- Authors: Amogh JoshiDario GuevaraMason Earles
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-09-06T07:00:00Z
  DOI: 10.34133/plantphenomics.0084
  Issue No: Vol. 5 (2023)
SPSI: A Novel Composite Index for Estimating Panicle Number in Winter
Wheat before Heading from UAV Multispectral Imagery
- Authors: Yapeng WuWenhui WangYangyang GuHengbiao ZhengXia YaoYan ZhuWeixing CaoTao Cheng
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-09-06T07:00:00Z
  DOI: 10.34133/plantphenomics.0087
  Issue No: Vol. 5 (2023)
To What Extent Does Yellow Rust Infestation Affect Remotely Sensed
Nitrogen Status'
- Authors: Alexis CarlierSebastien DandrifosseBenjamin DumontBenoît Mercatoris
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-09-06T07:00:00Z
  DOI: 10.34133/plantphenomics.0083
  Issue No: Vol. 5 (2023)
Instance Segmentation and Berry Counting of Table Grape before Thinning
Based on AS-SwinT
- Authors: Wensheng DuPing Liu
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-08-29T07:00:00Z
  DOI: 10.34133/plantphenomics.0085
  Issue No: Vol. 5 (2023)
The Importance of Using Realistic 3D Canopy Models to Calculate Light
Interception in the Field
- Authors: Shunfu XiaoShuaipeng FeiQing LiBingyu ZhangHaochong ChenDemin XuZhibo CaiKaiyi BiYan GuoBaoguo LiZhen ChenYuntao Ma
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-08-18T07:00:00Z
  DOI: 10.34133/plantphenomics.0082
  Issue No: Vol. 5 (2023)
Coupling Plant Growth Models and Pest and Disease Models: An Interaction
Structure Proposal, MIMIC
- Authors: Houssem E. M. TrikiFabienne RibeyreFabrice PinardMarc Jaeger
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-08-04T07:00:00Z
  DOI: 10.34133/plantphenomics.0077
  Issue No: Vol. 5 (2023)
Awn Image Analysis and Phenotyping Using BarbNet
- Authors: Narendra NarisettiMuhammad AwaisMuhammad KhanFrieder StolzenburgNils SteinEvgeny Gladilin
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-08-04T07:00:00Z
  DOI: 10.34133/plantphenomics.0081
  Issue No: Vol. 5 (2023)
Eff-3DPSeg: 3D Organ-Level Plant Shoot Segmentation Using
Annotation-Efficient Deep Learning
- Authors: Liyi LuoXintong JiangYu YangEugene Roy Antony SamyMark LefsrudValerio Hoyos-VillegasShangpeng Sun
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-08-02T07:00:00Z
  DOI: 10.34133/plantphenomics.0080
  Issue No: Vol. 5 (2023)
Interaction of Genotype, Environment, and Management on Organ-Specific
Critical Nitrogen Dilution Curve in Wheat
- Authors: Bo YaoXiaolong WangYancheng WangTianyang YeEnli WangQiang CaoXia YaoYan ZhuWeixing CaoXiaojun LiuLiang Tang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-08-02T07:00:00Z
  DOI: 10.34133/plantphenomics.0078
  Issue No: Vol. 5 (2023)
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using
Ground-Based RGB Images
- Authors: Yu TanakaTomoya WatanabeKeisuke KatsuraYasuhiro TsujimotoToshiyuki TakaiTakashi Sonam Tashi TanakaKensuke KawamuraHiroki SaitoKoki HommaSalifou Goube MairouaKokou AhouantonAli IbrahimKalimuthu SenthilkumarVimal Kumar SemwalEduardo Jose Graterol MatuteEdgar CorredorRaafat El-NamakyNorvie ManigbasEduardo Jimmy P. QuilangYu IwahashiKota NakajimaEisuke TakeuchiKazuki Saito
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-28T07:00:00Z
  DOI: 10.34133/plantphenomics.0073
  Issue No: Vol. 5 (2023)
Concise Cascade Methods for Transgenic Rice Seed Discrimination using
Spectral Phenotyping
- Authors: Jinnuo ZhangXuping FengJian JinHui Fang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-28T07:00:00Z
  DOI: 10.34133/plantphenomics.0071
  Issue No: Vol. 5 (2023)
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in
Populus trichocarpa
- Authors: John LagergrenMirko PavicicHari B. ChhetriLarry M. YorkDoug HyattDavid KainerErica M. RutterKevin FloresJack Bailey-BaleMarie KleinGail TaylorDaniel Jacobson Jared Streich
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-28T07:00:00Z
  DOI: 10.34133/plantphenomics.0072
  Issue No: Vol. 5 (2023)
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI
Images in Automated and Manual Virtual Reality Work Flows
- Authors: Tobias SelznerJannis HornMagdalena LandlAndreas PohlmeierDirk HelmrichKatrin HuberJan VanderborghtHarry VereeckenSven BehnkeAndrea Schnepf
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-28T07:00:00Z
  DOI: 10.34133/plantphenomics.0076
  Issue No: Vol. 5 (2023)
EasyDAM_V3: Automatic Fruit Labeling Based on Optimal Source Domain
Selection and Data Synthesis via a Knowledge Graph
- Authors: Wenli ZhangYuxin LiuChao ZhengGuoqiang CuiWei Guo
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-27T07:00:00Z
  DOI: 10.34133/plantphenomics.0067
  Issue No: Vol. 5 (2023)
Quantifying Contributions of Different Factors to Canopy Photosynthesis in
2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline
- Authors: Qingfeng SongFusang LiuHongyi BuXin-Guang Zhu
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-26T07:00:00Z
  DOI: 10.34133/plantphenomics.0075
  Issue No: Vol. 5 (2023)
FCOS-LSC: A Novel Model for Green Fruit Detection in a Complex Orchard
Environment
- Authors: Ruina ZhaoYujie GuanYuqi LuZe JiXiang YinWeikuan Jia
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-19T07:00:00Z
  DOI: 10.34133/plantphenomics.0069
  Issue No: Vol. 5 (2023)
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A
Self-Supervised Deep Learning Semantic Segmentation Approach
- Authors: Yangmingrui GaoYinglun LiRuibo JiangXiaohai ZhanHao LuWei GuoWanneng YangYanfeng DingShouyang Liu
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-18T07:00:00Z
  DOI: 10.34133/plantphenomics.0064
  Issue No: Vol. 5 (2023)
Efficient Noninvasive FHB Estimation using RGB Images from a Novel
Multiyear, Multirater Dataset
- Authors: Dominik RößleLukas PreyLudwig RamgraberAnja HanemannDaniel CremersPatrick Ole NoackTorsten Schön
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-14T07:00:00Z
  DOI: 10.34133/plantphenomics.0068
  Issue No: Vol. 5 (2023)
A Combined Genomics and Phenomics Approach is Needed to Boost Breeding in
Sugarcane
- Authors: Ting LuoXiaoyan LiuPrakash Lakshmanan
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-14T07:00:00Z
  DOI: 10.34133/plantphenomics.0074
  Issue No: Vol. 5 (2023)
CountShoots: Automatic Detection and Counting of Slash Pine New Shoots
Using UAV Imagery
- Authors: Xia HaoYue CaoZhaoxu ZhangFederico TomasettoWeiqi YanCong XuQifu LuanYanjie Li*
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-10T07:00:00Z
  DOI: 10.34133/plantphenomics.0065
  Issue No: Vol. 5 (2023)
Can Distributed Ledgers Help to Overcome the Need of Labeled Data for
Agricultural Machine Learning Tasks'
- Authors: Stefan PaulusBenjamin Leiding
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-10T07:00:00Z
  DOI: 10.34133/plantphenomics.0070
  Issue No: Vol. 5 (2023)
Application of Improved UNet and EnglightenGAN for Segmentation and
Reconstruction of In Situ Roots
- Authors: Qiushi YuJingqi WangHui TangJiaxi ZhangWenjie ZhangLiantao LiuNan Wang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-06T07:00:00Z
  DOI: 10.34133/plantphenomics.0066
  Issue No: Vol. 5 (2023)
Wearable Sensor: An Emerging Data Collection Tool for Plant Phenotyping
- Authors: Cheng ZhangJingjing KongDaosheng WuZhiyong GuanBaoqing DingFadi Chen
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-07-04T07:00:00Z
  DOI: 10.34133/plantphenomics.0051
  Issue No: Vol. 5 (2023)
Knowledge Distillation Facilitates the Lightweight and Efficient Plant
Diseases Detection Model
- Authors: Qianding HuangXingcai WuQi WangXinyu DongYongbin QinXue WuYangyang GaoGefei Hao
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-06-28T07:00:00Z
  DOI: 10.34133/plantphenomics.0062
  Issue No: Vol. 5 (2023)
Classification of Plant Endogenous States Using Machine Learning-Derived
Agricultural Indices
- Authors: Sally Shuxian KohKapil DevJavier Jingheng TanValerie Xinhui TeoShuyan ZhangDinish U.S.Malini OlivoDaisuke Urano
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-06-27T07:00:00Z
  DOI: 10.34133/plantphenomics.0060
  Issue No: Vol. 5 (2023)
Global Wheat Head Detection Challenges: Winning Models and Application for
Head Counting
- Authors: Etienne DavidFranklin OgidiDaniel SmithScott ChapmanBenoit de SolanWei GuoFrederic BaretIan Stavness
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-06-26T07:00:00Z
  DOI: 10.34133/plantphenomics.0059
  Issue No: Vol. 5 (2023)
Multispectral Phenotyping and Genetic Analyses of Spring Appearance in
Greening Plant, Phedimus spp.
- Authors: Taeko KojiHiroyoshi IwataMotoyuki IshimoriHideki TakanashiYuji YamasakiHisashi Tsujimoto
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-06-26T07:00:00Z
  DOI: 10.34133/plantphenomics.0063
  Issue No: Vol. 5 (2023)
Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back
Propagation Neural Networks
- Authors: Giuseppe MontanaroAngelo PetrozzaLaura RustioniFrancesco CelliniVitale Nuzzo
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-06-23T07:00:00Z
  DOI: 10.34133/plantphenomics.0061
  Issue No: Vol. 5 (2023)
Analyzing Nitrogen Effects on Rice Panicle Development by Panicle
Detection and Time-Series Tracking
- Authors: Qinyang ZhouWei GuoNa ChenZe WangGanghua LiYanfeng DingSeishi NinomiyaYue Mu
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-06-23T07:00:00Z
  DOI: 10.34133/plantphenomics.0048
  Issue No: Vol. 5 (2023)
Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to
Separate Disease and Senescence in Wheat Canopies
- Authors: Jonas AndereggRadek ZenklAchim WalterAndreas HundBruce A. McDonald
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-06-22T07:00:00Z
  DOI: 10.34133/plantphenomics.0053
  Issue No: Vol. 5 (2023)
A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice
during the Whole Growth Period
- Authors: Zhixin TangZhuo ChenYuan GaoRuxian XueZedong GengQingyun BuYanyan WangXiaoqian ChenYuqiang JiangFan ChenWanneng YangWeijuan Hu
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-06-08T07:00:00Z
  DOI: 10.34133/plantphenomics.0058
  Issue No: Vol. 5 (2023)
Predicting and Visualizing Citrus Color Transformation Using a Deep
Mask-Guided Generative Network
- Authors: Zehan BaoWeifu LiJun ChenHong ChenVijay JohnChi XiaoYaohui Chen
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-06-07T07:00:00Z
  DOI: 10.34133/plantphenomics.0057
  Issue No: Vol. 5 (2023)
Estimation of Rice Aboveground Biomass by UAV Imagery with Photosynthetic
Accumulation Models
- Authors: Kaili YangJiacai MoShanjun LuoYi PengShenghui FangXianting WuRenshan ZhuYuanjin LiNingge YuanCong ZhouYan Gong
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-05-31T07:00:00Z
  DOI: 10.34133/plantphenomics.0056
  Issue No: Vol. 5 (2023)
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of
the Soil-Type Background
- Authors: Qiaomin ChenBangyou ZhengKarine ChenuScott C. Chapman
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-05-23T07:00:00Z
  DOI: 10.34133/plantphenomics.0055
  Issue No: Vol. 5 (2023)
PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support
Image-Based Plant Disease Diagnosis
- Authors: Xinyu DongQi WangQianding HuangQinglong GeKejun ZhaoXingcai WuXue WuLiang LeiGefei Hao
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-05-18T07:00:00Z
  DOI: 10.34133/plantphenomics.0054
  Issue No: Vol. 5 (2023)
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN
Method to Segment Overlapping Plants
- Authors: Xingche GuoYumou QiuDan NettletonPatrick S. Schnable
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-05-18T07:00:00Z
  DOI: 10.34133/plantphenomics.0052
  Issue No: Vol. 5 (2023)
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet
- Authors: Zhiwen TangXinyu HeGuoxiong ZhouAibin ChenYanfeng WangLiujun LiYahui Hu
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-05-12T07:00:00Z
  DOI: 10.34133/plantphenomics.0042
  Issue No: Vol. 5 (2023)
A Novel Feature Selection Strategy Based on Salp Swarm Algorithm for Plant
Disease Detection
- Authors: Xiaojun XieFei XiaYufeng WuShouyang LiuKe YanHuanliang XuZhiwei Ji
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-05-11T07:00:00Z
  DOI: 10.34133/plantphenomics.0039
  Issue No: Vol. 5 (2023)
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and
Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence
- Authors: Hao DingZihao WangYongguang ZhangJi LiLi JiaQiting ChenYanfeng DingSonghan Wang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-05-09T07:00:00Z
  DOI: 10.34133/plantphenomics.0047
  Issue No: Vol. 5 (2023)
Analyzing Changes in Maize Leaves Orientation due to GxExM Using an
Automatic Method from RGB Images
- Authors: Mario SerouartRaul Lopez-LozanoGaëtan DaubigeMaëva BaumontBrigitte EscaleBenoit De SolanFrédéric Baret
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-05-09T07:00:00Z
  DOI: 10.34133/plantphenomics.0046
  Issue No: Vol. 5 (2023)
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize
under a Field High-Throughput Phenotyping Platform
- Authors: Yinglun LiWeiliang WenJiangchuan FanWenbo GouShenghao GuXianju LuZetao YuXiaodong WangXinyu Guo
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-04-20T07:00:00Z
  DOI: 10.34133/plantphenomics.0043
  Issue No: Vol. 5 (2023)
Process-Based Crop Modeling for High Applicability with Attention
Mechanism and Multitask Decoders
- Authors: Taewon MoonDongpil KimSungmin KwonJung Eek Son
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-04-12T07:00:00Z
  DOI: 10.34133/plantphenomics.0035
  Issue No: Vol. 5 (2023)
Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D
Plant Model Simulations: Application to Wheat Leaf Counting at Seedling
Stage
- Authors: Yinglun LiXiaohai ZhanShouyang LiuHao LuRuibo JiangWei GuoScott ChapmanYufeng GeBenoit SolanYanfeng DingFrédéric Baret
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-04-11T07:00:00Z
  DOI: 10.34133/plantphenomics.0041
  Issue No: Vol. 5 (2023)
WRA-Net: Wide Receptive Field Attention Network for Motion Deblurring in
Crop and Weed Image
- Authors: Chaeyeong YunYu Hwan KimSung Jae LeeSu Jin ImKang Ryoung Park
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-04-05T07:00:00Z
  DOI: 10.34133/plantphenomics.0031
  Issue No: Vol. 5 (2023)
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based
Plant Phenotyping
- Authors: Franklin C. OgidiMark G. EramianIan Stavness
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-04-03T07:00:00Z
  DOI: 10.34133/plantphenomics.0037
  Issue No: Vol. 5 (2023)
Generating 3D Multispectral Point Clouds of Plants with Fusion of Snapshot
Spectral and RGB-D Images
- Authors: Pengyao XieRuiming DuZhihong MaHaiyan Cen
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-04-03T07:00:00Z
  DOI: 10.34133/plantphenomics.0040
  Issue No: Vol. 5 (2023)
Erratum to “Phenotypic Analysis of Diseased Plant Leaves Using
Supervised and Weakly Supervised Deep Learning”
- Authors: Lei ZhouQinlin XiaoMohamed Farag TahaChengjia XuChu Zhang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-03-30T07:00:00Z
  DOI: 10.34133/plantphenomics.0033
  Issue No: Vol. 5 (2023)
A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking
Algorithm
- Authors: Yang LiRong MaRentian ZhangYifan ChengChunwang Dong
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-03-30T07:00:00Z
  DOI: 10.34133/plantphenomics.0030
  Issue No: Vol. 5 (2023)
Determination of Fv/Fm from Chlorophyll a Fluorescence without Dark
Adaptation by an LSSVM Model
- Authors: Qian XiaHao TangLijiang FuJinglu TanGovindjee GovindjeeYa Guo
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-03-30T07:00:00Z
  DOI: 10.34133/plantphenomics.0034
  Issue No: Vol. 5 (2023)
From Laboratory to Field: Unsupervised Domain Adaptation for Plant Disease
Recognition in the Wild
- Authors: Xinlu WuXijian FanPeng LuoSruti Das ChoudhuryTardi TjahjadiChunhua Hu
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-03-28T07:00:00Z
  DOI: 10.34133/plantphenomics.0038
  Issue No: Vol. 5 (2023)
Potential of Establishing the Universal Critical Nitrogen Dilution Curve
for Japonica Rice
- Authors: Zhaopeng FuRui ZhangJiayi ZhangKe ZhangQiang CaoYongchao TianYan ZhuWeixing CaoXiaojun Liu
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-03-27T07:00:00Z
  DOI: 10.34133/plantphenomics.0036
  Issue No: Vol. 5 (2023)
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using
MC-UNet
- Authors: Yubao DengHaoran XiGuoxiong ZhouAibin ChenYanfeng WangLiujun LiYahui Hu
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-03-15T07:00:00Z
  DOI: 10.34133/plantphenomics.0049
  Issue No: Vol. 5 (2023)
Prediction of Needle Physiological Traits Using UAV Imagery for Breeding
Selection of Slash Pine
- Authors: Xiaoyun NiuZhaoying SongCong XuHaoran WuQifu LuanJingmin JiangYanjie Li
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-03-15T07:00:00Z
  DOI: 10.34133/plantphenomics.0028
  Issue No: Vol. 5 (2023)
Improved Field-Based Soybean Seed Counting and Localization with Feature
Level Considered
- Authors: Jiangsan ZhaoAkito KagaTetsuya YamadaKunihiko KomatsuKaori HirataAkio KikuchiMasayuki HirafujiSeishi NinomiyaWei Guo
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-03-15T07:00:00Z
  DOI: 10.34133/plantphenomics.0026
  Issue No: Vol. 5 (2023)
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization
with Hierarchical Segmentation
- Authors: Zhihong Ma; Ruiming Du, Jiayang Xie, Dawei Sun, Hui Fang, Lixi Jiang, Haiyan Cen
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-03-15T07:00:00Z
  DOI: 10.34133/plantphenomics.0027
  Issue No: Vol. 5 (2023)
BreedingEIS: An Efficient Evaluation Information System for Crop Breeding
- Authors: Kaijie Qi; Xiao Wu, Chao Gu, Zhihua Xie, Shutian Tao, Shaoling Zhang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-03-14T07:00:00Z
  DOI: 10.34133/plantphenomics.0029
  Issue No: Vol. 5 (2023)
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting
- Authors: Jie Xu; Jia Yao, Hang Zhai, Qimeng Li, Qi Xu, Ying Xiang, Yaxi Liu, Tianhong Liu, Huili Ma, Yan Mao, Fengkai Wu, Qingjun Wang, Xuanjun Feng, Jiong Mu, Yanli Lu
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-02-28T08:00:00Z
  DOI: 10.34133/plantphenomics.0024
  Issue No: Vol. 5 (2023)
Semi-Self-Supervised Learning for Semantic Segmentation in Images with
Dense Patterns
- Authors: Keyhan Najafian; Alireza Ghanbari, Mahdi Sabet Kish, Mark Eramian, Gholam Hassan Shirdel, Ian Stavness, Lingling Jin, Farhad Maleki
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-02-24T08:00:00Z
  DOI: 10.34133/plantphenomics.0025
  Issue No: Vol. 5 (2023)
Diversifying Resistance Mechanisms in Cereal Crops Using Microphenomics
- Authors: Peter M. Dracatos; Stefanie Lück, Dimitar K. Douchkov
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-02-13T08:00:00Z
  DOI: 10.34133/plantphenomics.0023
  Issue No: Vol. 5 (2023)
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput
UAV RGB Images
- Authors: Xiaodong Bai; Pichao Liu, Zhiguo Cao, Hao Lu, Haipeng Xiong, Aiping Yang, Zhe Cai, Jianjun Wang Jianguo Yao
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-01-30T08:00:00Z
  DOI: 10.34133/plantphenomics.0020
  Issue No: Vol. 5 (2023)
Pleiotropy Structures Plant Height and Seed Weight Scaling in Barley
despite Long History of Domestication and Breeding Selection
- Authors: Tianhua He; Tefera Tolera Angessa Chengdao Li
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-01-30T08:00:00Z
  DOI: 10.34133/plantphenomics.0015
  Issue No: Vol. 5 (2023)
Hyperspectral Remote Sensing for Phenotyping the Physiological Drought
Response of Common and Tepary Bean
- Authors: Christopher YS Wong; Matthew E Gilbert, Marshall A Pierce, Travis A Parker, Antonia Palkovic, Paul Gepts, Troy S Magney, Thomas N Buckley
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-01-16T08:00:00Z
  DOI: 10.34133/plantphenomics.0021
  Issue No: Vol. 5 (2023)
From Prototype to Inference: A Pipeline to Apply Deep Learning in Sorghum
Panicle Detection
- Authors: Chrisbin James; Yanyang Gu, Andries Potgieter, Etienne David, Simon Madec, Wei Guo, Frédéric Baret, Anders Eriksson, Scott Chapman
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-01-16T08:00:00Z
  DOI: 10.34133/plantphenomics.0017
  Issue No: Vol. 5 (2023)
Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on
Multisource Data
- Authors: Xiulin Bai; Hui Fang, Yong He, Jinnuo Zhang, Mingzhu Tao, Qingguan Wu, Guofeng Yang, Yuzhen Wei, Yu Tang, Lie Tang, Binggan Lou, Shuiguang Deng, Yong Yang, Xuping Feng
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-01-16T08:00:00Z
  DOI: 10.34133/plantphenomics.0019
  Issue No: Vol. 5 (2023)
Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly
Supervised Deep Learning
- Authors: Lei Zhou; Qinlin Xiao, Mohanmed Farag Taha, Chengjia Xu, Chu Zhang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-01-16T08:00:00Z
  DOI: 10.34133/plantphenomics.0022
  Issue No: Vol. 5 (2023)
The Gray Mold Spore Detection of Cucumber Based on Microscopic Image and
Deep Learning
- Authors: Kaiyu Li; Xinyi Zhu, Chen Qiao, Lingxian Zhang, Wei Gao, Yong Wang
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-01-10T08:00:00Z
  DOI: 10.34133/plantphenomics.0011
  Issue No: Vol. 5 (2023)
Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using
Hyperspectral Imagery
- Authors: Shuai Che; Guoying Du, Xuefeng Zhong, Zhaolan Mo, Zhendong Wang, Yunxiang Mao
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-01-10T08:00:00Z
  DOI: 10.34133/plantphenomics.0012
  Issue No: Vol. 5 (2023)
A Novel Intelligent System for Dynamic Observation of Cotton Verticillium
Wilt
- Authors: Chenglong Huang; Zhongfu Zhang, Xiaojun Zhang, Li Jiang, Xiangdong Hua, Junli Ye, Wanneng Yang, Peng Song, Longfu Zhu*
  Abstract: Plant Phenomics, Volume 5, January 2023.
  
  Citation: Plant Phenomics
  PubDate: 2023-01-10T08:00:00Z
  DOI: 10.34133/plantphenomics.0013
  Issue No: Vol. 5 (2023)