Plant Methods

Papers
(The median citation count of Plant Methods is 3. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Plant diseases and pests detection based on deep learning: a review483
Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods85
Semi-supervised few-shot learning approach for plant diseases recognition79
A survey of few-shot learning in smart agriculture: developments, applications, and challenges77
A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus avellana cell culture59
Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season57
High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion54
Screening natural product extracts for potential enzyme inhibitors: protocols, and the standardisation of the usage of blanks in α-amylase, α-glucosidase and lipase assays53
Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops52
Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)51
Few-shot cotton leaf spots disease classification based on metric learning50
Early real-time detection algorithm of tomato diseases and pests in the natural environment47
Determination of phosphorus compounds in plant tissues: from colourimetry to advanced instrumental analytical chemistry45
Computer vision-based wood identification and its expansion and contribution potentials in wood science: A review43
Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer42
DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field38
Heritable gene editing using FT mobile guide RNAs and DNA viruses37
Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing36
Leaf infiltration in plant science: old method, new possibilities36
Optimization of protoplast regeneration in the model plant Arabidopsis thaliana36
High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning35
Combined fluorescent seed selection and multiplex CRISPR/Cas9 assembly for fast generation of multiple Arabidopsis mutants35
A hybrid CNN–SVM classifier for weed recognition in winter rape field35
Raman imaging reveals in-situ microchemistry of cuticle and epidermis of spruce needles34
Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning34
Soybean cyst nematode detection and management: a review33
Highly efficient Agrobacterium rhizogenes-mediated hairy root transformation for gene functional and gene editing analysis in soybean32
DNA–protein interaction studies: a historical and comparative analysis32
Raman spectroscopy enables phenotyping and assessment of nutrition values of plants: a review31
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods31
Nondestructive estimation of potato yield using relative variables derived from multi-period LAI and hyperspectral data based on weighted growth stage31
Efficient CRISPR/Cas9 mediated Pooled-sgRNAs assembly accelerates targeting multiple genes related to male sterility in cotton30
A cationic lipid mediated CRISPR/Cas9 technique for the production of stable genome edited citrus plants30
Development of an accurate low cost NDVI imaging system for assessing plant health30
Prediction of hypericin content in Hypericum perforatum L. in different ecological habitat using artificial neural networks28
Determination of wheat spike and spikelet architecture and grain traits using X-ray Computed Tomography imaging28
A glass bead semi-hydroponic system for intact maize root exudate analysis and phenotyping26
Agrobacterium rhizogenes-mediated hairy root transformation as an efficient system for gene function analysis in Litchi chinensis26
A cassava common mosaic virus vector for virus-induced gene silencing in cassava26
Improving the estimation of alpine grassland fractional vegetation cover using optimized algorithms and multi-dimensional features25
Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery25
Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality25
Evaluation of maize lodging resistance based on the critical wind speed of stalk breaking during the late growth stage25
Application of CRISPR/Cas9 technology in wild apple (Malus sieverii) for paired sites gene editing25
Characterization of the cytokinin sensor TCSv2 in arabidopsis and tomato24
Gene Ontology Meta Annotator for Plants (GOMAP)24
An improved method for the segmentation of roots from X-ray computed tomography 3D images: Rootine v.223
Maize-IAS: a maize image analysis software using deep learning for high-throughput plant phenotyping23
Comparison of new hyperspectral index and machine learning models for prediction of winter wheat leaf water content23
A high-efficiency Agrobacterium-mediated transient expression system in the leaves of Artemisia annua L.23
Wheat leaf area index prediction using data fusion based on high-resolution unmanned aerial vehicle imagery23
Predicting yellow rust in wheat breeding trials by proximal phenotyping and machine learning22
A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning22
Attention-optimized DeepLab V3 + for automatic estimation of cucumber disease severity22
Electrical impedance spectroscopy (EIS) in plant roots research: a review22
Sensor-based phenotyping of above-ground plant-pathogen interactions22
Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP models22
Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning21
Deep learning for detecting herbicide weed control spectrum in turfgrass21
A generalised approach for high-throughput instance segmentation of stomata in microscope images19
TopoRoot: a method for computing hierarchy and fine-grained traits of maize roots from 3D imaging19
L2MXception: an improved Xception network for classification of peach diseases18
Complementarity of Raman and Infrared spectroscopy for rapid characterization of fucoidan extracts18
High-throughput interspecies profiling of acidic plant hormones using miniaturised sample processing18
Sorting biotic and abiotic stresses on wild rocket by leaf-image hyperspectral data mining with an artificial intelligence model18
Efficient isolation of protoplasts from rice calli with pause points and its application in transient gene expression and genome editing assays18
Rapid non-destructive method to phenotype stomatal traits18
Biomass estimation of cultivated red algae Pyropia using unmanned aerial platform based multispectral imaging17
Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield17
X-ray fluorescence spectroscopy (XRF) for metallome analysis of herbarium specimens17
YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting17
Meta-learning prediction of physical and chemical properties of magnetized water and fertilizer based on LSTM17
Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature17
A comprehensive comparison of four methods for extracting lipids from Arabidopsis tissues17
MGIDI: a powerful tool to analyze plant multivariate data17
Interest of phenomic prediction as an alternative to genomic prediction in grapevine17
New field wind manipulation methodology reveals adaptive responses of steppe plants to increased and reduced wind speed16
MoBiFC: development of a modular bimolecular fluorescence complementation toolkit for the analysis of chloroplast protein–protein interactions16
Split-root systems: detailed methodology, alternative applications, and implications at leaf proteome level16
Species-specific basecallers improve actual accuracy of nanopore sequencing in plants16
A method for experimental warming of developing tree seeds with a common garden demonstration of seedling responses15
Fast reconstruction method of three-dimension model based on dual RGB-D cameras for peanut plant15
Standardization of electrolyte leakage data and a novel liquid nitrogen control improve measurements of cold hardiness in woody tissue15
4D Structural root architecture modeling from digital twins by X-Ray Computed Tomography15
WheatLFANet: in-field detection and counting of wheat heads with high-real-time global regression network15
Yield estimation of high-density cotton fields using low-altitude UAV imaging and deep learning15
Efficient isolation and purification of tissue-specific protoplasts from tea plants (Camellia sinensis (L.) O. Kuntze)15
How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques15
High throughput phenotyping of cross-sectional morphology to assess stalk lodging resistance15
A fast method to evaluate in a combinatorial manner the synergistic effect of different biostimulants for promoting growth or tolerance against abiotic stress15
A modified aeroponic system for growing small-seeded legumes and other plants to study root systems14
A comparison of ImageJ and machine learning based image analysis methods to measure cassava bacterial blight disease severity14
High-throughput phenotyping allows the selection of soybean genotypes for earliness and high grain yield14
MultipleXLab: A high-throughput portable live-imaging root phenotyping platform using deep learning and computer vision14
A handheld device for measuring the diameter at breast height of individual trees using laser ranging and deep-learning based image recognition14
Improving large-scale biomass and total alkaloid production of Dendrobium nobile Lindl. using a temporary immersion bioreactor system and MeJA elicitation14
Automated, image-based disease measurement for phenotyping resistance to soybean frogeye leaf spot14
Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology14
A deep learning model for rapid classification of tea coal disease13
Development of a highly efficient virus-free regeneration system of Salvia miltiorrhiza from Sichuan using apical meristem as explants13
Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography13
Experimental comparison of two methods to study barley responses to partial submergence13
Protocol: analytical methods for visualizing the indolic precursor network leading to auxin biosynthesis13
A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize13
Establishment of Agrobacterium-mediated genetic transformation and application of CRISPR/Cas9 genome-editing system to Brassica rapa var. rapa13
A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy13
New methods for confocal imaging of infection threads in crop and model legumes12
Synchrotron tomography applications in agriculture and food sciences research: a review12
Efficient strategies for controlled release of nanoencapsulated phytohormones to improve plant stress tolerance12
Simple and efficient isolation of plant genomic DNA using magnetic ionic liquids12
Continuous monitoring of plant sodium transport dynamics using clinical PET12
Computational fluid dynamics simulation experimental verification and analysis of droplets deposition behaviour on vibrating pear leaves12
Leaf reflectance can surrogate foliar economics better than physiological traits across macrophyte species11
Development of a fuzzy model for differentiating peanut plant from broadleaf weeds using image features11
Evaluation of genetic stability in olive callus-induced and meristem-induced shoots using flow cytometry and amplified fragment length polymorphism techniques11
Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.)11
Inter-row navigation line detection for cotton with broken rows11
Root-TRAPR: a modular plant growth device to visualize root development and monitor growth parameters, as applied to an elicitor response of Cannabis sativa11
Qualitative and quantitative evaluation of thylakoid complexes separated by Blue Native PAGE11
A label-free, fast and high-specificity technique for plant cell wall imaging and composition analysis11
Cowpea speed breeding using regulated growth chamber conditions and seeds of oven-dried immature pods potentially accommodates eight generations per year11
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 learning11
A toolkit to rapidly modify root systems through single plant selection11
Orthogonal control of gene expression in plants using synthetic promoters and CRISPR-based transcription factors11
Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images10
Roughness measurement of leaf surface based on shape from focus10
An efficient overexpression method for studying genes in Ricinus that transport vectorized agrochemicals10
Quantitative phenotyping and evaluation for lettuce leaves of multiple semantic components10
HairNet: a deep learning model to score leaf hairiness, a key phenotype for cotton fibre yield, value and insect resistance10
Applying spectral fractal dimension index to predict the SPAD value of rice leaves under bacterial blight disease stress10
Genome-wide screening of novel RT-qPCR reference genes for study of GLRaV-3 infection in wine grapes and refinement of an RNA isolation protocol for grape berries10
Banana plant counting and morphological parameters measurement based on terrestrial laser scanning10
Improving the sorting efficiency of maize haploid kernels using an NMR-based method with oil content double thresholds10
Mapping the forage nitrogen, phosphorus, and potassium contents of alpine grasslands by integrating Sentinel-2 and Tiangong-2 data10
Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model10
An optimized pipeline for live imaging whole Arabidopsis leaves at cellular resolution9
Ribozyme-mediated CRISPR/Cas9 gene editing in pyrethrum (Tanacetum cinerariifolium) hairy roots using a RNA polymerase II-dependent promoter9
3D-GBS: a universal genotyping-by-sequencing approach for genomic selection and other high-throughput low-cost applications in species with small to medium-sized genomes9
A global non-invasive methodology for the phenotyping of potato under water deficit conditions using imaging, physiological and molecular tools9
Automatic freezing-tolerant rapeseed material recognition using UAV images and deep learning9
Identifying and mapping individual medicinal plant Lamiophlomis rotata at high elevations by using unmanned aerial vehicles and deep learning9
Field-measured canopy height may not be as accurate and heritable as believed: evidence from advanced 3D sensing9
Peat-based hairy root transformation using Rhizobium rhizogenes as a rapid and efficient tool for easily exploring potential genes related to root-knot nematode parasitism and host response9
Effect of a suitable treatment period on the genetic transformation efficiency of the plant leaf disc method9
The impact of variable illumination on vegetation indices and evaluation of illumination correction methods on chlorophyll content estimation using UAV imagery9
High-throughput estimation of allele frequencies using combined pooled-population sequencing and haplotype-based data processing9
Metric learning for image-based flower cultivars identification9
A simple, cost-effective high-throughput image analysis pipeline improves genomic prediction accuracy for days to maturity in wheat9
DeepCob: precise and high-throughput analysis of maize cob geometry using deep learning with an application in genebank phenomics9
Floral infrared emissivity estimates using simple tools9
Cross-sectional geometry predicts failure location in maize stalks9
An efficient CRISPR-Cas9 enrichment sequencing strategy for characterizing complex and highly duplicated genomic regions. A case study in the Prunus salicina LG3-MYB10 genes cluster9
Segmentation and counting of wheat spike grains based on deep learning and textural feature9
Fast estimation of plant growth dynamics using deep neural networks9
Simultaneous silencing of two different Arabidopsis genes with a novel virus-induced gene silencing vector8
Remotely sensed estimation of total iron content in soil with harmonic analysis and BP neural network8
Establishment of an efficient cotton root protoplast isolation protocol suitable for single-cell RNA sequencing and transient gene expression analysis8
Image analysis for the automatic phenotyping of Orobanche cumana tubercles on sunflower roots8
Super-resolution imaging of Douglas fir xylem cell wall nanostructure using SRRF microscopy8
Fast and easy bioassay for the necrotizing fungus Botrytis cinerea on poplar leaves8
A method for obtaining field wheat freezing injury phenotype based on RGB camera and software control8
Propagation of desert moss Syntrichia caninervis in peat pellet: a method for rapidly obtaining large numbers of cloned gametophytes8
Isolation, purification and PEG-mediated transient expression of mesophyll protoplasts in Camellia oleifera8
A low-cost automated growth chamber system for continuous measurements of gas exchange at canopy scale in dynamic conditions8
A hyperspectral deep learning attention model for predicting lettuce chlorophyll content8
Water and nitrogen in-situ imaging detection in live corn leaves using near-infrared camera and interference filter8
Installation and imaging of thousands of minirhizotrons to phenotype root systems of field-grown plants8
Foxtail mosaic virus-induced gene silencing (VIGS) in switchgrass (Panicum virgatum L.)8
Carbon dioxide expanded liquid: an effective solvent for the extraction of quercetin from South African medicinal plants8
Complete root specimen of plants grown in soil-filled root box: sampling, measuring, and staining method8
Isotope ratio-based quantification of carbon assimilation highlights the role of plastidial isoprenoid precursor availability in photosynthesis7
Texture feature extraction from microscope images enables a robust estimation of ER body phenotype in Arabidopsis7
Real-time monitoring of rhizosphere nitrate fluctuations under crops following defoliation7
Characterizing the effects of different chemicals on stem bending of cut snapdragon flower7
Pseudo high-frequency boosts the generalization of a convolutional neural network for cassava disease detection7
Rapid monitoring of flavonoid content in sweet tea (Lithocarpus litseifolius (Hance) Chun) leaves using NIR spectroscopy7
Improving multi-scale detection layers in the deep learning network for wheat spike detection based on interpretive analysis7
Quantification of the three-dimensional root system architecture using an automated rotating imaging system7
Untapped potential of non-conventional rubus species: bioactivity, nutrition, and livelihood opportunities7
Wheat grain width: a clue for re-exploring visual indicators of grain weight7
Classification of multi-year and multi-variety pumpkin seeds using hyperspectral imaging technology and three-dimensional convolutional neural network7
Plant trait measurement in 3D for growth monitoring7
Identification of the initial water-site and movement in Gleditsia sinensis seeds and its relation to seed coat structure7
Identification of an emerging cucumber virus in Taiwan using Oxford nanopore sequencing technology7
Laser-based molecular delivery and its applications in plant science7
WeCoNET: a host–pathogen interactome database for deciphering crucial molecular networks of wheat-common bunt cross-talk mechanisms7
An advanced method for the release, enrichment and purification of high-quality Arabidopsis thaliana rosette leaf trichomes enables profound insights into the trichome proteome7
A new biotechnology for in-planta gene editing and its application in promoting flavonoid biosynthesis in bamboo leaves7
A highly efficient regeneration, genetic transformation system and induction of targeted mutations using CRISPR/Cas9 in Lycium ruthenicum7
TSWIFT: Tower Spectrometer on Wheels for Investigating Frequent Timeseries for high-throughput phenotyping of vegetation physiology7
Hyperspectral imaging-based classification of rice leaf blast severity over multiple growth stages7
Validating a multi-locus metabarcoding approach for characterizing mixed-pollen samples7
Open source 3D phenotyping of chickpea plant architecture across plant development7
A deep learning model for predicting risks of crop pests and diseases from sequential environmental data7
A rapid and non-destructive method for spatial–temporal quantification of colonization by Pseudomonas syringae pv. tomato DC3000 in Arabidopsis and tomato7
Depth image conversion model based on CycleGAN for growing tomato truss identification6
High-resolution spectral information enables phenotyping of leaf epicuticular wax in wheat6
Knockdown expression of a MYB-related transcription factor gene, OsMYBS2, enhances production of recombinant proteins in rice suspension cells6
Characterization of leaf surface phenotypes based on light interaction6
Application of machine learning algorithms and feature selection in rapeseed (Brassica napus L.) breeding for seed yield6
A new method for functional analysis of plastid EMBRYO-DEFECTIVE PPR genes by efficiently constructing cosuppression lines in Arabidopsis6
Experimental data manipulations to assess performance of hyperspectral classification models of crop seeds and other objects6
HANDY: a device for assessing resistance to mechanical crushing of maize kernel6
Cotton stubble detection based on wavelet decomposition and texture features6
A low-cost and open-source solution to automate imaging and analysis of cyst nematode infection assays for Arabidopsis thaliana6
A foliar pigment-based bioassay for interrogating chloroplast signalling revealed that carotenoid isomerisation regulates chlorophyll abundance6
Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks6
Targeted mRNA demethylation in Arabidopsis using plant m6A editor6
Optimized synthesis of layered double hydroxide lactate nanosheets and their biological effects on Arabidopsis seedlings6
A rapid and sensitive, multiplex, whole mount RNA fluorescence in situ hybridization and immunohistochemistry protocol6
Optimization of immune receptor-related hypersensitive cell death response assay using agrobacterium-mediated transient expression in tobacco plants6
DeLTa-Seq: direct-lysate targeted RNA-Seq from crude tissue lysate6
Application of X-ray computed tomography to analyze the structure of sorghum grain6
Evaluating potential of leaf reflectance spectra to monitor plant genetic variation6
Advances in micropropagation, somatic embryogenesis, somatic hybridizations, genetic transformation and cryopreservation for Passiflora improvement6
Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing6
Full-length transcriptome sequences by a combination of sequencing platforms applied to isoflavonoid and triterpenoid saponin biosynthesis of Astragalus mongholicus Bunge6
NADPH containing superoxide-producing thermostable complex from raspberry, apricot, grape, and grape seeds: isolation, purification, and properties6
Genotyping of polyploid plants using quantitative PCR: application in the breeding of white-fleshed triploid loquats (Eriobotrya japonica)6
SeptoSympto: a precise image analysis of Septoria tritici blotch disease symptoms using deep learning methods on scanned images5
Evaluation of an intelligent artificial climate chamber for high-throughput crop phenotyping in wheat5
A protocol for Chenopodium quinoa pollen germination5
Non-destructive pre-symptomatic detection of gray mold infection in kiwifruit using hyperspectral data and chemometrics5
PhenoTrack3D: an automatic high-throughput phenotyping pipeline to track maize organs over time5
Meta-analysis of the role of zinc in coordinating absorption of mineral elements in wheat seedlings5
Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm5
Soybean leaf estimation based on RGB images and machine learning methods5
An efficient chromatin immunoprecipitation (ChIP) protocol for studying histone modifications in peach reproductive tissues5
Research on anthracnose grade of Camellia oleifera based on the combined LIBS and THz technology5
Protocol development for somatic embryogenesis, SSR markers and genetic modification of Stipagrostis pennata (Trin.) De Winter5
Crop insect pest detection based on dilated multi-scale attention U-Net5
Development and application of a virus-induced gene silencing protocol for the study of gene function in narrow-leafed lupin5
Quantification of spatial metal accumulation patterns in Noccaea caerulescens by X-ray fluorescence image processing for genetic studies5
Plant cell wall hydrolysis process reveals structure–activity relationships5
Effects of cushion box and closed let-down ladder usage on damage to corn during handling: physiological deterioration5
Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants5
A non-destructive approach for measuring rice panicle-level photosynthetic responses using 3D-image reconstruction5
Three-dimensional branch segmentation and phenotype extraction of maize tassel based on deep learning5
Comparison of non-subjective relative fungal biomass measurements to quantify the Leptosphaeria maculans—Brassica napus interaction5
A custom library construction method for super-resolution ribosome profiling in Arabidopsis5
A high quality, high molecular weight DNA extraction method for PacBio HiFi genome sequencing of recalcitrant plants5
Monitoring of drought stress and transpiration rate using proximal thermal and hyperspectral imaging in an indoor automated plant phenotyping platform5
RGB image-based method for phenotyping rust disease progress in pea leaves using R5
Field cabbage detection and positioning system based on improved YOLOv8n5
Improved wood species identification based on multi-view imagery of the three anatomical planes5
Axial variation in flexural stiffness of plant stem segments: measurement methods and the influence of measurement uncertainty5
Mix-and-match: an improved, fast and accessible protocol for hypocotyl micrografting of Arabidopsis seedlings with systemic ACC responses as a case study5
A device for the controlled cooling and freezing of excised plant specimens during magnetic resonance imaging5
Detection of reed using cnn method and analysis of the dry reed (phragmites australis) for a sustainable lake area5
PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel5
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