Plant Methods

Papers
(The TQCC of Plant Methods is 11. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Plant diseases and pests detection based on deep learning: a review367
Early recognition of tomato gray leaf spot disease based on MobileNetv2-YOLOv3 model125
Semi-supervised few-shot learning approach for plant diseases recognition75
A survey of few-shot learning in smart agriculture: developments, applications, and challenges70
Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods70
Analysis and comprehensive comparison of PacBio and nanopore-based RNA sequencing of the Arabidopsis transcriptome70
High-throughput three-dimensional visualization of root system architecture of rice using X-ray computed tomography68
Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of plant growth regulators on somatic59
A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus avellana cell culture53
Wheat ear counting using K-means clustering segmentation and convolutional neural network46
High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion45
Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season45
Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops44
Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean44
Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz)42
Few-shot cotton leaf spots disease classification based on metric learning41
Computer vision-based wood identification and its expansion and contribution potentials in wood science: A review39
Screening natural product extracts for potential enzyme inhibitors: protocols, and the standardisation of the usage of blanks in α-amylase, α-glucosidase and lipase assays39
Phenotypic techniques and applications in fruit trees: a review38
Early real-time detection algorithm of tomato diseases and pests in the natural environment38
Isolation of antimicrobial peptides from different plant sources: Does a general extraction method exist?38
Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer37
Determination of phosphorus compounds in plant tissues: from colourimetry to advanced instrumental analytical chemistry37
Deep learning-based detection of seedling development36
DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field36
Evaluation of novel precision viticulture tool for canopy biomass estimation and missing plant detection based on 2.5D and 3D approaches using RGB images acquired by UAV platform36
Heritable gene editing using FT mobile guide RNAs and DNA viruses35
Maize tassels detection: a benchmark of the state of the art34
Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)34
Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing33
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level33
Optimization of protoplast regeneration in the model plant Arabidopsis thaliana31
An improved strategy to analyse strigolactones in complex sample matrices using UHPLC–MS/MS31
CRISPR-Cas9 enrichment and long read sequencing for fine mapping in plants31
SILEX: a fast and inexpensive high-quality DNA extraction method suitable for multiple sequencing platforms and recalcitrant plant species31
A robust spectral angle index for remotely assessing soybean canopy chlorophyll content in different growing stages30
A detached leaf assay for testing transient gene expression and gene editing in cowpea (Vigna unguiculata [L.] Walp.)30
Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning30
Highly efficient Agrobacterium rhizogenes-mediated hairy root transformation for gene functional and gene editing analysis in soybean30
Combined fluorescent seed selection and multiplex CRISPR/Cas9 assembly for fast generation of multiple Arabidopsis mutants30
Raman imaging reveals in-situ microchemistry of cuticle and epidermis of spruce needles30
Efficient chromatin profiling of H3K4me3 modification in cotton using CUT&Tag30
Analysis of trace metal distribution in plants with lab-based microscopic X-ray fluorescence imaging29
DiCoExpress: a tool to process multifactorial RNAseq experiments from quality controls to co-expression analysis through differential analysis based on contrasts inside GLM models29
High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning29
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods29
An in situ approach to characterizing photosynthetic gas exchange of rice panicle29
Nutrient solutions for Arabidopsis thaliana: a study on nutrient solution composition in hydroponics systems26
A hybrid CNN–SVM classifier for weed recognition in winter rape field26
Leaf infiltration in plant science: old method, new possibilities26
Efficient CRISPR/Cas9 mediated Pooled-sgRNAs assembly accelerates targeting multiple genes related to male sterility in cotton26
Raman spectroscopy enables phenotyping and assessment of nutrition values of plants: a review26
Prediction of hypericin content in Hypericum perforatum L. in different ecological habitat using artificial neural networks26
Visualization of spatial gene expression in plants by modified RNAscope fluorescent in situ hybridization25
DNA–protein interaction studies: a historical and comparative analysis25
Nondestructive estimation of potato yield using relative variables derived from multi-period LAI and hyperspectral data based on weighted growth stage25
Application of CRISPR/Cas9 technology in wild apple (Malus sieverii) for paired sites gene editing24
The effect of plant weight on estimations of stalk lodging resistance24
Chlorophyll fluorescence imaging captures photochemical efficiency of grain sorghum (Sorghum bicolor) in a field setting24
Genomic prediction of yield and root development in wheat under changing water availability24
A cationic lipid mediated CRISPR/Cas9 technique for the production of stable genome edited citrus plants24
Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality23
Evaluation of maize lodging resistance based on the critical wind speed of stalk breaking during the late growth stage23
Optimization of isolation and transfection conditions of maize endosperm protoplasts23
A CRISPR/dCas9 toolkit for functional analysis of maize genes22
An improved method for the segmentation of roots from X-ray computed tomography 3D images: Rootine v.222
Determination of wheat spike and spikelet architecture and grain traits using X-ray Computed Tomography imaging22
Extraction of tree crowns damaged by Dendrolimus tabulaeformis Tsai et Liu via spectral-spatial classification using UAV-based hyperspectral images22
A cassava common mosaic virus vector for virus-induced gene silencing in cassava22
A glass bead semi-hydroponic system for intact maize root exudate analysis and phenotyping21
Maize-IAS: a maize image analysis software using deep learning for high-throughput plant phenotyping21
Agrobacterium rhizogenes-mediated hairy root transformation as an efficient system for gene function analysis in Litchi chinensis21
Characterization of the cytokinin sensor TCSv2 in arabidopsis and tomato21
Comparison of new hyperspectral index and machine learning models for prediction of winter wheat leaf water content21
Diverse maize hybrids are structurally inefficient at resisting wind induced bending forces that cause stalk lodging20
Leaf to panicle ratio (LPR): a new physiological trait indicative of source and sink relation in japonica rice based on deep learning20
Deep learning for detecting herbicide weed control spectrum in turfgrass20
Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP models20
Wheat leaf area index prediction using data fusion based on high-resolution unmanned aerial vehicle imagery19
Non-destructive identification of single hard seed via multispectral imaging analysis in six legume species19
Predicting yellow rust in wheat breeding trials by proximal phenotyping and machine learning19
Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery19
A rapid and sensitive method to assess seed longevity through accelerated aging in an invasive plant species19
L2MXception: an improved Xception network for classification of peach diseases18
A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning18
Evaluation of duplicated reference genes for quantitative real-time PCR analysis in genome unknown hexaploid oat (Avena sativa L.)18
A generalised approach for high-throughput instance segmentation of stomata in microscope images18
Gene Ontology Meta Annotator for Plants (GOMAP)18
Electrical impedance spectroscopy (EIS) in plant roots research: a review17
High-throughput method for detection and quantification of lesions on leaf scale based on trypan blue staining and digital image analysis17
A high-efficiency Agrobacterium-mediated transient expression system in the leaves of Artemisia annua L.17
Analytical methods in strigolactone research17
Single-wall carbon nanotubes improve cell survival rate and reduce oxidative injury in cryopreservation of Agapanthus praecox embryogenic callus16
Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning16
Sensor-based phenotyping of above-ground plant-pathogen interactions16
A simple and fast Agrobacterium-mediated transformation system for passion fruit KPF4 (Passiflora edulis f. edulis × Passiflora edulis f. flavicarpa)16
Evaluating the suitability of hyper- and multispectral imaging to detect foliar symptoms of the grapevine trunk disease Esca in vineyards16
Efficient isolation of protoplasts from rice calli with pause points and its application in transient gene expression and genome editing assays16
Automated discretization of ‘transpiration restriction to increasing VPD’ features from outdoors high-throughput phenotyping data16
Anthocyanin, a novel and user-friendly reporter for convenient, non-destructive, low cost, directly visual selection of transgenic hairy roots in the study of rhizobia-legume symbiosis15
Efficient isolation and purification of tissue-specific protoplasts from tea plants (Camellia sinensis (L.) O. Kuntze)15
Attention-optimized DeepLab V3 + for automatic estimation of cucumber disease severity15
Meta-learning prediction of physical and chemical properties of magnetized water and fertilizer based on LSTM15
A comprehensive comparison of four methods for extracting lipids from Arabidopsis tissues15
Microscale thermophoresis as a powerful tool for screening glycosyltransferases involved in cell wall biosynthesis15
Improving the estimation of alpine grassland fractional vegetation cover using optimized algorithms and multi-dimensional features15
TopoRoot: a method for computing hierarchy and fine-grained traits of maize roots from 3D imaging14
An automatic method for counting wheat tiller number in the field with terrestrial LiDAR14
Development of an accurate low cost NDVI imaging system for assessing plant health14
YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting14
Soybean cyst nematode detection and management: a review14
Split-root systems: detailed methodology, alternative applications, and implications at leaf proteome level14
A modified method for enzymatic isolation of and subsequent wax extraction from Arabidopsis thaliana leaf cuticle14
A method for experimental warming of developing tree seeds with a common garden demonstration of seedling responses13
Sorting biotic and abiotic stresses on wild rocket by leaf-image hyperspectral data mining with an artificial intelligence model13
Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology13
Interest of phenomic prediction as an alternative to genomic prediction in grapevine13
Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield13
X-ray fluorescence spectroscopy (XRF) for metallome analysis of herbarium specimens13
Improving large-scale biomass and total alkaloid production of Dendrobium nobile Lindl. using a temporary immersion bioreactor system and MeJA elicitation13
Complementarity of Raman and Infrared spectroscopy for rapid characterization of fucoidan extracts13
High-throughput interspecies profiling of acidic plant hormones using miniaturised sample processing12
Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature12
High throughput phenotyping of cross-sectional morphology to assess stalk lodging resistance12
Biomass estimation of cultivated red algae Pyropia using unmanned aerial platform based multispectral imaging12
Reconstruction method and optimum range of camera-shooting angle for 3D plant modeling using a multi-camera photography system12
A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize12
Non-destructive phenotyping for early seedling vigor in direct-seeded rice12
MoBiFC: development of a modular bimolecular fluorescence complementation toolkit for the analysis of chloroplast protein–protein interactions12
The platform GrowScreen-Agar enables identification of phenotypic diversity in root and shoot growth traits of agar grown plants12
Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography12
Continuous monitoring of plant sodium transport dynamics using clinical PET12
Experimental comparison of two methods to study barley responses to partial submergence12
MultipleXLab: A high-throughput portable live-imaging root phenotyping platform using deep learning and computer vision12
Integrated Puncture Score: force–displacement weighted rind penetration tests improve stalk lodging resistance estimations in maize12
New methods for confocal imaging of infection threads in crop and model legumes11
Automated, image-based disease measurement for phenotyping resistance to soybean frogeye leaf spot11
Standardization of electrolyte leakage data and a novel liquid nitrogen control improve measurements of cold hardiness in woody tissue11
A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy11
Phylogenomic synteny network analyses reveal ancestral transpositions of auxin response factor genes in plants11
An optimized histological proceeding to study the female gametophyte development in grapevine11
Core-labelling technique (CLT): a novel combination of the ingrowth-core method and tracer technique for deep root study11
3D characterization of walnut morphological traits using X-ray computed tomography11
Ice accommodation in plant tissues pinpointed by cryo-microscopy in reflected-polarised-light11
4D Structural root architecture modeling from digital twins by X-Ray Computed Tomography11
Leaf reflectance can surrogate foliar economics better than physiological traits across macrophyte species11
Rapid non-destructive method to phenotype stomatal traits11
Simple and efficient isolation of plant genomic DNA using magnetic ionic liquids11
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