Plant Methods

Papers
(The TQCC of Plant Methods is 9. 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
Leaf infiltration in plant science: old method, new possibilities36
Optimization of protoplast regeneration in the model plant Arabidopsis thaliana36
Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing36
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
High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning35
Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning34
Raman imaging reveals in-situ microchemistry of cuticle and epidermis of spruce needles34
Soybean cyst nematode detection and management: a review33
DNA–protein interaction studies: a historical and comparative analysis32
Highly efficient Agrobacterium rhizogenes-mediated hairy root transformation for gene functional and gene editing analysis in soybean32
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
Raman spectroscopy enables phenotyping and assessment of nutrition values of plants: a review31
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
Efficient CRISPR/Cas9 mediated Pooled-sgRNAs assembly accelerates targeting multiple genes related to male sterility in cotton30
Determination of wheat spike and spikelet architecture and grain traits using X-ray Computed Tomography imaging28
Prediction of hypericin content in Hypericum perforatum L. in different ecological habitat using artificial neural networks28
A cassava common mosaic virus vector for virus-induced gene silencing in cassava26
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
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
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
Characterization of the cytokinin sensor TCSv2 in arabidopsis and tomato24
Gene Ontology Meta Annotator for Plants (GOMAP)24
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
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
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
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
Deep learning for detecting herbicide weed control spectrum in turfgrass21
Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning21
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
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
L2MXception: an improved Xception network for classification of peach diseases18
Complementarity of Raman and Infrared spectroscopy for rapid characterization of fucoidan extracts18
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
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
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
New field wind manipulation methodology reveals adaptive responses of steppe plants to increased and reduced wind speed16
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
4D Structural root architecture modeling from digital twins by X-Ray Computed Tomography15
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
How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques15
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
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 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
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
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
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
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
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
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
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
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