OOIR: Observatory of International Research

Papers

(The H4-Index of Computers and Electronics in Agriculture is 81. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Automatic recognition method of cow ruminating behaviour based on edge computing	438
Spatialized system to monitor vine flowering: Towards a methodology based on a low-cost wireless sensor network	365
Detection and quantification of cotton trichomes by deep learning algorithm	355
A novel framework for dynamic and quantitative mapping of damage severity due to compound Drought–Heatwave impacts on tea Plantations, integrating Sentinel-2 and UAV images	229
Comprehensive investigation of corrugated fiberboard boxes with edge vents for ambient loading of chinese cabbage: Part I - Computational fluid dynamics simulation and experimental validation	197
A smart cotton module tracking and monitoring system for handling logistics and cover damage	188
Using machine learning techniques to predict liquid dairy manure temperature during storage	184
Development of an automated and artificial intelligence assisted pressure chamber for stem water potential determination	180
i-RAT: A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices	176
Uncertainty quantification of nitrogen use efficiency prediction in China using Monte Carlo simulation and quantile regression forests	170
Zeugodacus fruit flies (Diptera: Tephritidae) host preference analysis by machine learning-based approaches	166
Strategic planning in citriculture: An optimization approach	160
Conductive heat loss of sows in a ventilated environment identified by steady CFD-CHT modelling considering thermophysiological effects	153
Novel approaches for a brix prediction model in Rondo wine grapes using a hyperspectral Camera: Comparison between destructive and Non-destructive sensing methods	152
Pest-PVT: A model for multi-class and dense pest detection and counting in field-scale environments	148
Characterization of social cohesion status of pre-weaning piglets based on lightweight pose estimation	148
Handling intra-class imbalance in part-segmentation of different wheat cultivars	145
Semantic segmentation-based conservation tillage corn straw return cover type recognition	144
Robust counting for multi-species plants based on Few-Shot learning	141
Robust crop row detection using discrete Fourier transform (DFT) for vision-based in-field navigation	137
TrackPlant3D: 3D organ growth tracking framework for organ-level dynamic phenotyping	133
Improving detection of wheat canopy chlorophyll content based on inhomogeneous light correction	131
An improved multi-objective brainstorming algorithm with the application of rapeseed germination characteristics optimization	129
Row anchor selection classification method for early-stage crop row-following	129
Editorial Board	127

Rice threshing state prediction of threshing cylinder undergoing unbalanced harmonic response	122
Editorial Board	122
Attention-aided semantic segmentation network for weed identification in pineapple field	121
Vision-based apple quality grading with multi-view spatial network	121
Advancing digital ampelography: Automated classification of grapevine varieties	120
Estimation of green and blue water evapotranspiration using machine learning algorithms with limited meteorological data: A case study in Amu Darya River Basin, Central Asia	120
Study on the modeling method of sunflower seed particles based on the discrete element method	116
TranNas-NirCR: A method for improving the diagnosis of asymptomatic wheat scab with transfer learning and neural architecture search	115
Optimizing the path of seedling transplanting with multi-end effectors by using an improved greedy annealing algorithm	115
The use of accelerometers for the remote detection of mounting in rams and testosterone-treated wethers	114
Influencing factors of hog production based on geographical detection, OLS, and GWR—a case study in Jilin Province	113
A novel solution for extracting individual tree crown parameters in high-density plantation considering inter-tree growth competition using terrestrial close-range scanning and photogrammetry technolo	113
A robotic orchard platform increases harvest throughput by controlling worker vertical positioning and platform speed	112
Study on the throwing device of residual film recycling machine for the plough layer	111
An adaptive expert-in-the-loop algorithm for flock-specific anomaly detection in laying hen production	110
Convolutional Neural Networks accurately predict soil matric potential from soil, weather, and satellite-derived data	109
Spectral-based estimation of chlorophyll content and determination of background interference mechanisms in low-coverage rice	108
On the limit: Estimating round baler torque for grass harvesting scenarios	108
An integrated approach for estimating soil health: Incorporating digital elevation models and remote sensing of vegetation	107
Finding the lowest damage picking mode for tomatoes based on finite element analysis	106
Reliable plant segmentation under variable greenhouse illumination conditions	100
Assessing environmental control strategies in cage-free aviary housing systems: Egg production analysis and Random Forest modeling	100
Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning	100
Smart fuzzy irrigation system for litchi orchards	99
CFD simulations of supplemental cooling techniques in cross-ventilated dairy buildings and associated greenhouse gas emissions	99
Predictive modeling of Satureja rechingeri essential oil yield and composition under water deficit and soil amendment conditions using artificial neural networks (ANNs)	96
Numerical analyses ridge-forming for whole film-mulching and double ridge-furrow, a discrete element method	95
3D shape sensing and deep learning-based segmentation of strawberries	95
Terrain classification method using an NIR or RGB camera with a CNN-based fusion of vision and a reduced-order proprioception model	95
Electronic sensing combined with machine learning models for predicting soil nutrient content	94
Combining biomass production model with machine learning regression of critical nitrogen concentration for estimating grassland nitrogen requirements	93
Predicting physiological responses of dairy cows using comprehensive variables	93
An automatic eye surface-fundus double imaging system for estimation of vitamin A levels in Japanese Black Cattle	92
A CNN-based framework for estimation of root length, diameter, and color from in situ minirhizotron images	91
Online forecasting of daily feed intake in lactating sows supported by offline time-series clustering, for precision livestock farming	90
Grasping perception and prediction model of kiwifruit firmness based on flexible sensing claw	89
Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data	88
A multi-species pest recognition and counting method based on a density map in the greenhouse	88
Joint optimization of autoencoder and Self-Supervised Classifier: Anomaly detection of strawberries using hyperspectral imaging	88
Design of cost-effective LED based prototypes for the evaluation of grape (Vitis vinifera L.) ripeness	88
An accurate handheld device to measure log diameter and volume using machine vision technique	87
Upgrading swin-B transformer-based model for accurately identifying ripe strawberries by coupling task-aligned one-stage object detection mechanism	86
Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards	86
A 3D functional plant modelling framework for agricultural digital twins	86
Study on hyperspectral monitoring model of soil total nitrogen content based on fractional-order derivative	85
Swarm robots in mechanized agricultural operations: A review about challenges for research	85
Universal bovine identification via depth data and deep metric learning	84
Using mobile-based augmented reality and object detection for real-time Abalone growth monitoring	84
Underwater image enhancement and marine snow removal for fishery based on integrated dual-channel neural network	84
Collaborative path planning and task allocation for multiple agricultural machines	83

LiDAR-sensed tree canopy correction in uneven terrain conditions using a sensor fusion approach for precision sprayers	83
Soybean seed counting and broken seed recognition based on image sequence of falling seeds	83
CattleFaceNet: A cattle face identification approach based on RetinaFace and ArcFace loss	83
Integration and preliminary evaluation of a robotic cotton harvester prototype	82
Design of a lightweight robotic arm for kiwifruit pollination	82
Multi-objective optimal regulation model and system based on whole plant photosynthesis and light use efficiency of lettuce	81
Accurately estimate soybean growth stages from UAV imagery by accounting for spatial heterogeneity and climate factors across multiple environments	81