OOIR: Observatory of International Research

Papers

(The H4-Index of Plant Methods is 32. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Plant diseases and pests detection based on deep learning: a review	328
Early recognition of tomato gray leaf spot disease based on MobileNetv2-YOLOv3 model	119
Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields	109
SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging	70
Semi-supervised few-shot learning approach for plant diseases recognition	69
Analysis and comprehensive comparison of PacBio and nanopore-based RNA sequencing of the Arabidopsis transcriptome	66
A survey of few-shot learning in smart agriculture: developments, applications, and challenges	65
Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods	65
High-throughput three-dimensional visualization of root system architecture of rice using X-ray computed tomography	64
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 somatic	55
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	50
A multiplex guide RNA expression system and its efficacy for plant genome engineering	47
Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean	43
Wheat ear counting using K-means clustering segmentation and convolutional neural network	42
Simple semi-high throughput determination of activity signatures of key antioxidant enzymes for physiological phenotyping	41
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)	41
Active learning with point supervision for cost-effective panicle detection in cereal crops	40
High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion	40
Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season	39
Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops	39
Few-shot cotton leaf spots disease classification based on metric learning	37
Computer vision-based wood identification and its expansion and contribution potentials in wood science: A review	37
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	36
Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer	36
Early real-time detection algorithm of tomato diseases and pests in the natural environment	35

Recent developments and emerging trends of mass spectrometric methods in plant hormone analysis: a review	35
Phenotypic techniques and applications in fruit trees: a review	35
Isolation of antimicrobial peptides from different plant sources: Does a general extraction method exist?	33
DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field	33
Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing	32
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level	32
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 platform	32
Heritable gene editing using FT mobile guide RNAs and DNA viruses	32