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Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits

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plant phenomics 2022年第1期4卷 110-126页

作者： Meiyan Shu Shuaipeng Fei Bingyu Zhang Xiaohong Yang Yan Guo Baoguo Li Yuntao Ma College of Land Science and Technology China Agricultural UniversityBeijing 100091China State Key Laboratory of plant Physiology and Biochemistry National Maize Improvement Center of ChinaChina Agricultural UniversityBeijing 100091China

High-throughput estimation of phenotypic traits from UAV(unmanned aerial vehicle)images is helpful to improve the screening efficiency of breeding *** estimating phenotyping traits of breeding maize at plot scale helps to promote gene mining for specific traits and provides a guarantee for accelerating the breeding of superior *** an efficient and accurate estimation model is the key to the application of UAV-based multiple sensors data.

关键词： breeding estimation traits

Biopolymers-based skin-interfaced triboelectric sensors

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Nano Research 2023年第9期16卷 11753-11782页

作者： Shujia Xu Pedro Henrique de Souza Barbosa Wenzhuo Wu School of Industrial Engineering Purdue UniversityWest LafayetteIN 47907USA Flex Laboratory Purdue UniversityWest LafayetteIN 47907USA Regenstrief center for Healthcare Engineering Purdue UniversityWest LafayetteIN 47907USA Birck Nanotechnology center Purdue UniversityWest LafayetteIN 47907USA The center for Education and Research in Information Assurance and Security(CERIAS) Purdue UniversityWest LafayetteIN 47907USA

Rapid advances in artificial intelligence,robotics,and remote healthcare have increased the demand for sustainable and highperformance wearable *** devices are gaining traction due to their self-powered operation capability and potential as wearable energy ***-interfaced triboelectric sensors(SITSs)can detect various mechanical signals and monitor physiological signals in ***-based SITSs are ideal for skin-interfaced applications since they are biocompatible and *** review focuses on the recent advancements of SITS made from biocompatible polymer materials,such as plant-based,animal-based,and synthetic polymers,and highlights their potential for various applications,including human–machine interface(HMI)and physiological *** addition,the fundamentals,challenges,and prospects of SITS based on biocompatible polymers are discussed.

关键词： skin interfaced triboelectric sensors wearable devices biopolymers

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa

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plant phenomics 2023年第3期5卷 581-597页

作者： John Lagergren Mirko Pavicic Hari B.Chhetri Larry M.York Doug Hyatt David Kainer Erica M.Rutter Kevin Flores Jack Bailey-Bale Marie Klein Gail Taylor Daniel Jacobson Jared Streich Biosciences Division Oak Ridge National LaboratoryOak RidgeTNUSA Department of Applied Mathematics University of CaliforniaMercedCAUSA Department of Mathematics North Carolina State UniversityRaleighNCUSA Department of plant Sciences University of CaliforniaDavisCAUSA

plant phenotyping is typically a time-consuming and expensive endeavor,requiring large groups of researchers to meticulously measure biologically relevant plant traits,and is the main bottleneck in understanding plant adaptation and the genetic architecture underlying complex traits at population *** this work,we address these challenges by leveraging few-shot learning with convolutional neural networks to segment the leaf body and visible venation of 2,906 Populus trichocarpa leaf images obtained in the *** contrast to previous methods,our approach(a)does not require experimental or image preprocessing,(b)uses the raw RGB images at full resolution,and(c)requires very few samples for training(e.g.,just 8 images for vein segmentation).Traits relating to leaf morphology and vein topology are extracted from the resulting segmentations using traditional open-source image-processing tools,validated using real-world physical measurements,and used to conduct a genome-wide association study to identify genes controlling the *** this way,the current work is designed to provide the plant phenotyping community with(a)methods for fast and accurate image-based feature extraction that require minimal training data and(b)a new population-scale dataset,including 68 different leaf phenotypes,for domain scientists and machine learning *** of the few-shot learning code,data,and results are made publicly available.

关键词： networks neural image

Interaction of Genotype,Environment,and Management on Organ-Specific Critical Nitrogen Dilution Curve in Wheat

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plant phenomics 2023年第3期5卷 612-625页

作者： Bo Yao Xiaolong Wang Yancheng Wang Tianyang Ye Enli Wang Qiang Cao Xia Yao Yan Zhu Weixing Cao Xiaojun Liu Liang Tang National Engineering and Technology center for Information Agriculture Engineering Research Center for Smart AgricultureMinistry of EducationKey Laboratory for Crop System Analysis and Decision MakingMinistry of Agriculture and Rural AffairsJiangsu Key Laboratory for Information AgricultureJiangsu Collaborative Innovation Center for Modern Crop ProductionNanjing Agricultural UniversityNanjing 210095JiangsuPR China CSIRO Agriculture and Food Cluniess Ross StreetBlack MountainACTAustralia

The organ-specific critical nitrogen(N_(c))dilution curves are widely thought to represent a new approach for crop nitrogen(N)nutrition diagnosis,N management,and crop *** N_(c) dilution curve can be described by a power function(N_(c)=A_(1)·W^(−A2)),while parameters A_(1) and A_(2) control the starting point and *** study aimed to investigate the uncertainty and drivers of organ-specific curves under different *** using hierarchical Bayesian theory,parameters A_(1) and A_(2) of the organ-specific N_(c) dilution curves for wheat were derived and evaluated under 14 different genotype×environment×management(G×E×M)N fertilizer *** results show that parameters A_(1) and A_(2) are highly *** the variation of parameter A_(1) was less than that of A_(2),the values of both parameters can change significantly in response to G×E×*** nutrition index(NNI)calculated using organ-specific N_(c) is in general consistent with NNI estimated with overall shoot N_(c),indicating that a simple organ-specific N_(c) dilution curve may be used for wheat N diagnosis to assist N ***,the significant differences in organ-specific N_(c) dilution curves across G×E×M conditions imply potential errors in N_(c) and crop N demand estimated using a general N_(c) dilution curve in crop models,highlighting a clear need for improvement in N_(c) calculations in such *** results provide new insights into how to improve modeling of crop nitrogen–biomass relations and N management practices under G×E×M.

关键词： Wheat diagnosis starting

Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives

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plant Communications 2022年第6期3卷 135-173页

作者： Haiyu Tao Shan Xu Yongchao Tian Zhaofeng Li Yan Ge Jiaoping Zhang Yu Wang Guodong Zhou Xiong Deng Ze Zhang Yanfeng Ding Dong Jiang Qinghua Guo Shichao Jin plant phenomics Research Centre Academy for Advanced Interdisciplinary StudiesNational Engineering and Technology Center for Information AgricultureCollaborative Innovation Centre for Modern Crop Production co-sponsored by Province and MinistryNanjing Agricultural UniversityAddress:No.1 WeigangXuanwu DistrictNanjing 210095China The Key Laboratory of Oasis Eco-agriculture Xinjiang Production and Construction CorpsAgriculture CollegeShihezi UniversityShihezi 832003China Hainan Yazhou Bay Seed Laboratory Sanya 572025China State Key Laboratory of Crop Genetics and Germplasm Enhancement National Center for Soybean ImprovementKey Laboratory for Biology and Genetic Improvement of Soybean(GeneralMinistry of Agriculture)Nanjing Agricultural UniversityNanjing 210095China Sanya Research Institute of Nanjing Agriculture University Sanya 572024China Key Laboratory of plant Molecular Physiology Institute of BotanyChinese Academy of SciencesBeijing 100093China Institute of Ecology College of Urban and Environmental SciencePeking UniversityBeijing 100871China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System SciencesNanjing UniversityNanjingJiangsu 210023China

plant phenomics(PP)has been recognized as a bottleneck in studying the interactions of genomics and environment on plants,limiting the progress of smart breeding and precise ***-throughput plant phenotyping is challenging owing to the spatio-temporal dynamics of *** and remote sensing(PRS)techniques are increasingly used for plant phenotyping because of their advantages in multi-dimensional data acquisition and *** progress of PRS applications in PP has been observed over the last two decades and is analyzed here from an interdisciplinary perspective based on 2972 *** progress covers most aspects of PRS application in PP,including patterns of global spatial distribution and temporal dynamics,specific PRS technologies,phenotypic research fields,working environments,species,and ***,we demonstrate how to link PRS to multi-omics studies,including how to achieve multi-dimensional PRS data acquisition and processing,how to systematically integrate all kinds of phenotypic information and derive phenotypic knowledge with biological significance,and how to link PP to multi-omics association ***,we identify three future perspectives for PRS-based PP:(1)strengthening the spatial and temporal consistency of PRS data,(2)exploring novel phenotypic traits,and(3)facilitating multi-omics communication.

关键词： plant phenomics remote sensing phenotyping phenotypic traits multi-omics breeding precision cultivation

High-throughput phenotyping by applying digital morphometrics and fluorescence induction curves in seeds to identifying variations:A case study of Annona(Annonaceae)species

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Information Processing in Agriculture 2018年第4期5卷 443-455页

作者： Montcharles S.Pontes Carlos V.Montefusco-Pereira Biswapriya B.Misra Howard L.Ribeiro-Junior Daniela E.Graciano Jaqueline S.Santos Michele A.S.Nobrega Shaline S.L.Fernandes Anderson R.L.Caires Etenaldo F.Santiago plant Resources Study Group Natural Resources Study CenterUniversidade Estadual de Mato Grosso do Sul79804-970-P.O.Box.351DouradosMSBrazil Programa de Pos-Graduacao em Recursos Naturais(PGRN) Universidade Estadual de Mato Grosso do SulDouradosMSBrazil Pharmaceutical and Medicinal Chemistry Saarland University and Helmholtz Institute for Pharmaceutical Research Saarland(HIPS)Campus C2.3D-66123 SaarbruckenGermany center for Precision Medicine Department of Internal MedicineSection on Molecular MedicineWake Forest School of MedicineMedical Center BoulevardWinston SalemNC 27157USA center for Research and Drug Development Universidade Federal do Ceara60160250 FortalezaCEBrazil Applied Optics Group Laboratory of BiophotonicsUniversidade Federal da Grande Dourados79804-970-P.O.Box.351DouradosMSBrazil Optics and Photonic Group Institute of PhysicsUniversidade Federal de Mato Grosso do SulCP 54979070-900 Campo GrandeMSBrazil

Differences in physical and structural characteristics of seeds may indicate variability within and between plant *** the present study,we performed a close characterization of dimension,shape,and tegument delayed chlorophyll fluorescence in seeds obtained from three species of the genus Annona(Annonaceae),i.e.,Annona coriacea,***,*** showed that studied seeds may be sorted as scalene ellipsoids expressing low values for the seed *** morphological estimates suggested differences in seed shape for all species.A high correlation was observed between surface area and volume(r^2>99%)for all the three species suggesting that in addition to structural *** addition,we also observed very high positive correlations(Rho=1.000,p<0.001)between surface area and arithmetic mean diameterof the seeds for all *** first principal component(PCA1)of elliptical Fourier descriptors explained most of the variations in morphological structure of the seeds in the three ***,a less intense tegument delayed chlorophyll fluorescence was observed for *** while the highest intensity was recorded for ***,revealing the potential use of fluorescence spectroscopy in discrimination at the species level by analyzing the frequency domain by means of Fourier Transform spectra as well as the relationship time-frequency of chlorophyll fluorescence.

关键词： Dynamics of fluorescence Fourier descriptors Structural traits phenomics

Salinity - Induced Changes in Germination, Biomass and Physiological Characteristics of Oryza sativa L

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Salinity - Induced Changes in Germination, Biomass and Physi...

Small and Oriented Wheat Spike Detection at the Filling and Maturity Stages Based on WheatNet

International Conference on Environmental and Biological Sciences(ICEBS’2012);International Conference on Nanotechnology and Chemical Engineering(ICNCS’2012);International Conference on Trade,Tourism and Management(ICTTM’2012);International Conference on Automation,Control and robotics(ICACR’2012);International Conference on Data Mining and Computer Engineering(ICDMCE’2012);International Conference on Civil,Electrical and Electronics Engineering(ICCEEE’2012)

作者： Riti Thapar Kapoor plant Physiology Laboratory Amity Institute of Biotechnology Amity University

The present study was conducted to find the changes in germination, biomass and physiological characteristics of Oryza sativa exposed to different concentrations of salt solution. 50 and 100 mM salt solution significantly decreased seed germination, seedling length, vigour index and biomass of Oryza sativa in comparison to control. A significant reduction in chlorophyll and protein contents was also observed in seedlings of Oryza sativa with 100 mM NaCl concentration at 72 h. The degree of toxicity was proportional to the NaCl concentration and exposure period. Higher concentration of NaCl （100 mM） exhibited 81.75% and 79.78% reduction in chlorophyll and protein contents in the leaves of Oryza sativa at 72 h.

关键词： Biomass Germination NaCl stress Oryza sativa.

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plant phenomics 2023年第4期5卷 779-789页

作者： Jianqing Zhao Yucheng Cai Suwan Wang Jiawei Yan Xiaolei Qiu Xia Yao Yongchao Tian Yan Zhu Weixing Cao Xiaohu Zhang National Engineering and Technology center for Information Agriculture Nanjing Agricultural UniversityNanjing 210095China Key Laboratory for Crop System Analysis and Decision Making Ministry of Agriculture and Rural AffairsNanjing 210095China Jiangsu Key Laboratory for Information Agriculture Nanjing 210095China Jiangsu Collaborative Innovation center for Modern Crop Production Nanjing 210095China

Accurate wheat spike detection is crucial in wheat field phenotyping for precision *** in artificial intelligence have enabled deep learning models to improve the accuracy of detecting wheat ***,wheat growth is a dynamic process characterized by important changes in the color feature of wheat spikes and the *** models for wheat spike detection are typically designed for a specific growth *** adaptability to other growth stages or field scenes is *** models cannot detect wheat spikes accurately caused by the difference in color,size,and morphological features between growth *** paper proposes WheatNet to detect small and oriented wheat spikes from the filling to the maturity *** constructs a Transform Network to reduce the effect of differences in the color features of spikes at the filling and maturity stages on detection ***,a Detection Network is designed to improve wheat spike detection capability.A Circle Smooth Label is proposed to classify wheat spike angles in drone imagery.A new micro-scale detection layer is added to the network to extract the features of small *** loss is improved by Complete Intersection over Union to reduce the impact of the *** results show that WheatNet can achieve greater accuracy than classical detection *** detection accuracy with average precision of spike detection at the filling stage is 90.1%,while it is 88.6%at the maturity *** suggests that WheatNet is a promising tool for detection of wheat spikes.

关键词： Wheat maturity wheat

BreedingEIS: An Efficient Evaluation Information System for Crop Breeding

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plant phenomics 2023年第2期5卷 368-377页

作者： Kaijie Qi Xiao Wu Chao Gu Zhihua Xie Shutian Tao Shaoling Zhang Jiangsu Engineering Research center for Pear National Key Laboratory of Crop Genetics&Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjing 210095China

Crop breeding programs generate large ***,it is difficult to ensure the accuracy and integrity of all the collected data in the breeding *** improve breeding efficiency,we established an open source and free breeding evaluation information system(BreedingEIS).The full system is composed of a web client and a mobile *** web client is used to name the individual breeding offspring plants and analyze *** mobile client is based on the technology of widely used smartphones and is suitable for Android and iOS *** functions focus on field evaluation,including quick response code recognition,evaluation data entry,and real-time *** addition,near-field communication technology and portable label machines are introduced to enable breeders to quickly locate each individual plant and accurately label any samples collected from ***,BreedingEIS enables users to accurately and conveniently register phenotypic data and quickly lock target individual plants from large volumes of *** system provides a low-cost and highly efficient solution for crop information evaluation and enables breeders to better collect,manage,and use breeding data for decision making,which is a valuable resource for crop breeding.

关键词： client breeding enable