Plant Methods

Papers
(The TQCC of Plant Methods is 12. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
TreeJ: an ImageJ plugin for interactive cell lineage reconstruction from static images107
Orchid2024: A cultivar-level dataset and methodology for fine-grained classification of Chinese Cymbidium Orchids81
Coconut tree modeling based on abiotic factors and modified cosserat rod theory80
A simple and high-throughput single pollen genotyping pipeline to study meiosis in apple (Malus x domestica)79
Investigating phloem transport dynamics in Arabidopsis through compartmental modelling of positron emission tomography data71
Targeted gene deletion with SpCas9 and multiple guide RNAs in Arabidopsis thaliana: four are better than two58
Spectral image classification of asymptomatic peanut leaf diseases based on deep learning algorithms57
A lightweight hybrid transformer approach for hyperspectral imaging-based drought tolerance evaluation in tea plants55
A deep learning approach to track Arabidopsis seedlings’ circumnutation from time-lapse videos54
The semi-automated development of plant cell wall finite element models47
Crop phenotype prediction using SNP context and whole-genome feature embedding based on DNABERT-244
Classification of multi-year and multi-variety pumpkin seeds using hyperspectral imaging technology and three-dimensional convolutional neural network42
An automated method for stem diameter measurement based on laser module and deep learning41
Non-destructive real-time monitoring of underground root development with distributed fiber optic sensing41
The isolation strategy and chemical analysis of oil cells from Asari Radix et Rhizoma40
A novel method for extraction of high purity and high production Phytophthora sojae oospores40
The influence of water content on the longitudinal modulus of elasticity of maize stalk pith and rind tissues40
Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography39
Development of a multi-targeted real-time PCR assay for the detection of the grapevine pathogen Xylophilus ampelinus39
Combination of long-term 13CO2 labeling and isotopolog profiling allows turnover analysis of photosynthetic pigments in Arabidopsis leaves37
Improved wood species identification based on multi-view imagery of the three anatomical planes36
Non-destructive detection of early wheat germination via deep learning-optimized terahertz imaging36
Truncated CMV2bN43 enhances virus-induced gene silencing in pepper by retaining systemic but not local silencing suppression35
A simple and efficient method to quantify the cell parameters of the seed coat, embryo and silique wall in rapeseed35
Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data35
An improved bacterial mRNA enrichment strategy in dual RNA sequencing to unveil the dynamics of plant-bacterial interactions34
Novel in silico screening system for plant defense activators using deep learning-based prediction of reactive oxygen species accumulation33
OpenEar: an ultra-affordable, high-throughput, and accurate maize ear phenotyping system33
Optimization of ribosome profiling in plants including structural analysis of rRNA fragments33
pSIG plasmids, MoClo-compatible vectors for efficient production of chimeric double-stranded RNAs in Escherichia coli HT115 (DE3) strain33
Synchrotron tomography applications in agriculture and food sciences research: a review32
Local mapping of root orientation traits by X-ray micro-CT and 3d image analysis: A study case on carrot seedlings grown in simulated vs real weightlessness31
The evaluation of different combinations of enzyme set, aligner and caller in GBS sequencing of soybean31
Detection of TuMV by a toehold switch sensor coupled with NASBA amplification in Pseudostellaria heterophylla31
A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics30
A method of two-dimensional correlation spectroscopy combined with residual neural network for comparison and differentiation of medicinal plants raw materials superior to traditional machine learning30
Improvement of germination rate and hybridization to facilitate breeding of an industrial oil crop, Euphorbia lagascae Spreng30
SYMPATHIQUE: image-based tracking of symptoms and monitoring of pathogenesis to decompose quantitative disease resistance in the field30
Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images30
A high-throughput phenotyping method for sugarcane rind penetrometer resistance and breaking force characterization by near-infrared spectroscopy30
Using near-infrared spectroscopy to predict nitrogen and phosphorus concentrations of herbarium specimens under different storage conditions30
Research on the classification model of rubber leaf powdery mildew disease severity based on hyperspectral multi-dimensional feature fusion29
A new and effective method to induce infection of Phyllachora maydis into corn for tar spot studies in controlled environments29
GrainNet: efficient detection and counting of wheat grains based on an improved YOLOv7 modeling29
Inter-row navigation line detection for cotton with broken rows28
DWTFormer: a frequency-spatial features fusion model for tomato leaf disease identification28
RGB image-based method for phenotyping rust disease progress in pea leaves using R28
Evaluation of deep learning for predicting rice traits using structural and single-nucleotide genomic variants27
Automated, image-based disease measurement for phenotyping resistance to soybean frogeye leaf spot27
ScAnalyzer: an image processing tool to monitor plant disease symptoms and pathogen spread in Arabidopsis thaliana leaves27
Assembly and operation of an imaging system for long-term monitoring of bioluminescent and fluorescent reporters in plants26
Machine learning provides specific detection of salt and drought stresses in cucumber based on miRNA characteristics26
A comparative study on point cloud down-sampling strategies for deep learning-based crop organ segmentation26
Spectral estimation of the aboveground biomass of cotton under water–nitrogen coupling conditions26
PestDetectSim: an integrated approach for crop pest diagnosis using object detection and similarity-based image retrieval26
In vitro micropropagation protocols for two endangered Dianthus species - via in vitro culture for conservation and recultivation purposes25
Quantitative phenotyping of crop roots with spectral electrical impedance tomography: a rhizotron study with optimized measurement design25
Evaluation of an intelligent artificial climate chamber for high-throughput crop phenotyping in wheat25
WheatLFANet: in-field detection and counting of wheat heads with high-real-time global regression network24
Scoring the number of B chromosomes in Zea mays L. using droplet digital PCR assay24
EBS-YOLO: edge-optimized bidirectional spatial feature augmentation for in-field detection of wheat Fusarium head blight epidemics24
Optimization of preparation conditions for Salsola laricifolia protoplasts using response surface methodology and artificial neural network modeling24
A compact deep learning approach integrating depthwise convolutions and spatial attention for plant disease classification24
An electrophoretic mobility shift assay using the protein isolated from host plants24
Refining bulk segregant analyses: ontology-mediated discovery of flowering time genes in Brassica oleracea23
Statistical analysis of organelle movement using state-space models23
Rapid Ragi: A speed breeding protocol for finger millet23
Detection and characterization of spike architecture based on deep learning and X-ray computed tomography in barley22
Profiling DNA-protein interactions in Meloidogyne incognita using dCas9-based affinity purification22
BerryPortraits: Phenotyping Of Ripening Traits in cranberry (Vaccinium macrocarpon Ait.) with YOLOv822
A high-throughput approach for quantifying turgor loss point in grapevine22
Mapping of cotton bolls and branches with high-granularity through point cloud segmentation22
Assessing data analysis techniques in a high-throughput meiosis-like induction detection system22
Correction: Whole mount multiplexed visualization of DNA, mRNA, and protein in plant-parasitic nematodes21
A method to determine antifungal activity in seed exudates by nephelometry21
SeedSeg: image-based transgenic seed counting for segregation analysis of T-DNA loci21
Insights into lncRNA-mediated regulatory networks in Hevea brasiliensis under anthracnose stress21
Pre-trained protein language model sheds new light on the prediction of Arabidopsis protein–protein interactions21
A vector-free gene interference system using delaminated Mg–Al-lactate layered double hydroxide nanosheets as molecular carriers to intact plant cells21
Optimizing cannabis cultivation: an efficient in vitro system for flowering induction20
A custom library construction method for super-resolution ribosome profiling in Arabidopsis20
Intelligent identification on cotton verticillium wilt based on spectral and image feature fusion20
Spatial and Texture Analysis of Root System distribution with Earth mover’s Distance (STARSEED)20
ADAM-DETR: an intelligent rice disease detection method based on adaptive multi-scale feature fusion20
Transmembrane potential, an indicator in situ reporting cellular senescence and stress response in plant tissues20
Mitochondrial DNA editing in potato through mitoTALEN and mitoTALECD: molecular characterization and stability of editing events20
Automating high-throughput screening for anthracnose resistance in common bean using allele specific PCR20
Go Big or go home: a new gene ontology subset that improves plant gene function prediction20
BioCurve Analyzer: a web-based shiny app for analyzing biological response curves19
AraDQ: an automated digital phenotyping software for quantifying disease symptoms of flood-inoculated Arabidopsis seedlings19
Efficient mutagenesis and genotyping of maize inbreds using biolistics, multiplex CRISPR/Cas9 editing, and Indel-Selective PCR19
Acceleration of wheat breeding: enhancing efficiency and practical application of the speed breeding system19
Tracking deuterium uptake in hydroponically grown maize roots using correlative helium ion microscopy and Raman micro-spectroscopy19
Eggsplorer: a rapid plant–insect resistance determination tool using an automated whitefly egg quantification algorithm18
YOLO-RBSD: an efficient and accurate rice blast spore detector based on improved YOLOv818
CRISPR-Cas13a as a next-generation tool for rapid and precise plant RNA virus diagnostics18
Attention-PestNet: hierarchical scaled dot-product attention for insect pest detection18
Mapping and quantifying unique branching structures in lentil (Lens culinaris Medik.)18
A deep learning approach for deriving wheat phenology from near-surface RGB image series using spatiotemporal fusion18
FE-SEM visualization of cortical microtubules in plant cells using freeze-fracture techniques18
A novel method for measuring heat injury in leaves provides insights into the sequence of processes of heat injury development18
Monitoring of plant water uptake by measuring root dielectric properties on a fine timescale: diurnal changes and response to leaf excision18
A novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families17
MicroDeblurNet: high-fidelity restoration of spatially variant defocus in microscopic images for cucumber downy mildew17
Publisher Correction: New improvements in grapevine genome editing: high efficiency biallelic homozygous knock-out from regenerated plantlets by using an optimized zCas9i17
Low-cost and reliable substrate-based phenotyping platform for screening salt tolerance of cutting propagation-dependent grass, paspalum vaginatum17
Apnet: Lightweight network for apricot tree disease and pest detection in real-world complex backgrounds17
Accelerating eucalypt clone selection pipeline via cloned progeny trials and molecular data16
Improved genomic prediction using machine learning with Variational Bayesian sparsity16
One pattern analysis (OPA) for the quantitative determination of protein interactions in plant cells16
Introduction of the Ribo-BiFC method to plants using a split mVenus approach16
CMSAF-Net: integrative network design with enhanced decoder for precision segmentation of pear leaf diseases16
A wireless leaf movement sensor system for early detection of abiotic stresses in Zea mays L.16
A non-destructive approach for measuring rice panicle-level photosynthetic responses using 3D-image reconstruction16
Determining water status of walnut orchards using the crop water stress index and canopy temperature measurements16
Advancing radiation-induced mutant screening through high-throughput technology: a preliminary evaluation of mutant screening in Arabidopsis thaliana16
Utilizing X-ray radiography for non-destructive assessment of paddy rice grain quality traits16
RP-DETR: end-to-end rice pests detection using a transformer15
A CNN model for early detection of pepper Phytophthora blight using multispectral imaging, integrating spectral and textural information15
Identifying and mapping individual medicinal plant Lamiophlomis rotata at high elevations by using unmanned aerial vehicles and deep learning15
Segmentation and counting of wheat spike grains based on deep learning and textural feature15
Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield15
Establishment of a low-temperature immersion method for extracting high-activity and high-purity mitochondria from Syntrichia caninervis Mitt.15
De novo assembly provides new insights into the evolution of Elaeagnus angustifolia L.15
YOLO-PEST: a novel rice pest detection approach based on YOLOv5s15
Establishment of an efficient tissue culture system for Paeonia ostii by combining vernalization and etiolation pretreatment with optimized culture conditions14
Correction: Rapid and cost-effective molecular karyotyping in wheat, barley, and their crossprogeny by chromosome-specific multiplex PCR14
A rapid and efficient in vivo inoculation method for introducing tree stem canker pathogens onto leaves: suitable for large-scale assessment of resistance in poplar breeding progeny14
RhizoMAP: a comprehensive, nondestructive, and sensitive platform for metabolic imaging of the rhizosphere14
Dual discriminator GAN-based synthetic crop disease image generation for precise crop disease identification13
Gray mold and anthracnose disease detection on strawberry leaves using hyperspectral imaging13
A conditional segmentation-guided network for pomegranate image completion under occlusion13
Optimized deep learning framework for pomegranate disease detection using nature-inspired algorithms13
Clarification of the infection pattern of Xanthomonas citri subsp. citri on citrus fruit by artificial inoculation13
PhenoTrack3D: an automatic high-throughput phenotyping pipeline to track maize organs over time13
Deep learning for detecting herbicide weed control spectrum in turfgrass13
YOLOV8-CMS: a high-accuracy deep learning model for automated citrus leaf disease classification and grading13
Characterization of leaf surface phenotypes based on light interaction13
ShinyCore: An R/Shiny program for establishing core collection based on single nucleotide polymorphism data13
Accelerating leaf area measurement using a volumetric approach13
SSR_VibraProfiler: a Python package for accurate classification of varieties using SSRs with intra-variety specificity and inter-variety polymorphism13
Low-cost and automated phenotyping system “Phenomenon” for multi-sensor in situ monitoring in plant in vitro culture13
DNA-free high-quality RNA extraction from 39 difficult-to-extract plant species (representing seasonal tissues and tissue types) of 32 families, and its validation for downstream molecular application13
In-vivo Raman microspectroscopy reveals differential nitrate concentration in different developmental zones in Arabidopsis roots12
Quality assurance of hyperspectral imaging systems for neural network supported plant phenotyping12
Assessing and avoiding C isotopic contamination artefacts in mesocosm-scale 13CO2/12CO2 labelling systems: from biomass components to purified carbohydrates and dark respiration12
Efficient induction of tetraploids via adventitious bud regeneration and subsequent phenotypic variation in Acacia melanoxylon12
Automatic root measurement: a lightweight method for measuring pea root length12
Developing non-invasive 3D quantificational imaging for intelligent coconut analysis system with X-ray12
Overexpressing Arabidopsis thaliana ACBP6 in transgenic rapid-cycling Brassica napus confers cold tolerance12
Swin-Unet++: a study on phenotypic parameter analysis of cabbage seedling roots12
Opening the black box: explainable deep-learning classification of wood microscopic image of endangered tree species12
A cell P system with membrane division and dissolution rules for soybean leaf disease recognition12
Development of a semi-open chamber system for the gas exchange measurement of whole-canopy under steady and unsteady states in cucumber seedlings12
Photolysis of caged cytokinin in single cells of Arabidopsis thaliana12
NRTPredictor: identifying rice root cell state in single-cell RNA-seq via ensemble learning12
A systematic comparison of transformers and ConvNets for root segmentation across nine datasets12
Establishment of an NPK nutrient monitor system in yield-graded cotton petioles under drip irrigation12
Non-wounding contact-based Inoculation of fruits with fungal pathogens in postharvest12
A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass12
An automated phenotyping method for Chinese Cymbidium seedlings based on 3D point cloud12
The mechanisms and prediction of non-structural carbohydrates accretion and depletion after mechanical wounding in slash pine (Pinus elliottii) using near-infrared reflectance spectroscopy12
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