OOIR: Observatory of International Research

Papers

(The H4-Index of Plant Methods is 31. 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.)

Article	Citations
Plant diseases and pests detection based on deep learning: a review	483
Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods	85
Semi-supervised few-shot learning approach for plant diseases recognition	79
A survey of few-shot learning in smart agriculture: developments, applications, and challenges	77
A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus avellana cell culture	59
Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season	57
High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion	54
Screening natural product extracts for potential enzyme inhibitors: protocols, and the standardisation of the usage of blanks in α-amylase, α-glucosidase and lipase assays	53
Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops	52
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 learning	50
Early real-time detection algorithm of tomato diseases and pests in the natural environment	47
Determination of phosphorus compounds in plant tissues: from colourimetry to advanced instrumental analytical chemistry	45
Computer vision-based wood identification and its expansion and contribution potentials in wood science: A review	43
Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer	42
DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field	38
Heritable gene editing using FT mobile guide RNAs and DNA viruses	37
Optimization of protoplast regeneration in the model plant Arabidopsis thaliana	36
Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing	36
Leaf infiltration in plant science: old method, new possibilities	36
A hybrid CNN–SVM classifier for weed recognition in winter rape field	35
High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning	35
Combined fluorescent seed selection and multiplex CRISPR/Cas9 assembly for fast generation of multiple Arabidopsis mutants	35
Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning	34
Raman imaging reveals in-situ microchemistry of cuticle and epidermis of spruce needles	34

Soybean cyst nematode detection and management: a review	33
DNA–protein interaction studies: a historical and comparative analysis	32
Highly efficient Agrobacterium rhizogenes-mediated hairy root transformation for gene functional and gene editing analysis in soybean	32
Nondestructive estimation of potato yield using relative variables derived from multi-period LAI and hyperspectral data based on weighted growth stage	31
Raman spectroscopy enables phenotyping and assessment of nutrition values of plants: a review	31
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods	31