OOIR: Observatory of International Research

Papers

(The H4-Index of Computers and Electronics in Agriculture is 80. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Automatic recognition method of cow ruminating behaviour based on edge computing	426
Spatialized system to monitor vine flowering: Towards a methodology based on a low-cost wireless sensor network	370
A method for segmentation and localization of tomato lateral pruning points in complex environments based on improved YOLOV5	344
Detection and quantification of cotton trichomes by deep learning algorithm	342
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	321
Comprehensive investigation of corrugated fiberboard boxes with edge vents for ambient loading of chinese cabbage: Part I - Computational fluid dynamics simulation and experimental validation	222
A smart cotton module tracking and monitoring system for handling logistics and cover damage	193
Using machine learning techniques to predict liquid dairy manure temperature during storage	182
Online forecasting of daily feed intake in lactating sows supported by offline time-series clustering, for precision livestock farming	178
Development of an automated and artificial intelligence assisted pressure chamber for stem water potential determination	175
i-RAT: A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices	170
Soybean seed counting and broken seed recognition based on image sequence of falling seeds	159
Uncertainty quantification of nitrogen use efficiency prediction in China using Monte Carlo simulation and quantile regression forests	158
Zeugodacus fruit flies (Diptera: Tephritidae) host preference analysis by machine learning-based approaches	155
Strategic planning in citriculture: An optimization approach	149
Conductive heat loss of sows in a ventilated environment identified by steady CFD-CHT modelling considering thermophysiological effects	142
RGB camera-based monocular stereo vision applied in plant phenotype: A survey	141
Novel approaches for a brix prediction model in Rondo wine grapes using a hyperspectral Camera: Comparison between destructive and Non-destructive sensing methods	140
Grasping perception and prediction model of kiwifruit firmness based on flexible sensing claw	139
Characterization of social cohesion status of pre-weaning piglets based on lightweight pose estimation	135
An automatic eye surface-fundus double imaging system for estimation of vitamin A levels in Japanese Black Cattle	134
Using mobile-based augmented reality and object detection for real-time Abalone growth monitoring	131
A CNN-based framework for estimation of root length, diameter, and color from in situ minirhizotron images	131
MFENet: Multi-scale feature extraction network for images deblurring and segmentation of swinging wolfberry branch	130
Pest-PVT: A model for multi-class and dense pest detection and counting in field-scale environments	127

Handling intra-class imbalance in part-segmentation of different wheat cultivars	124
Robust counting for multi-species plants based on Few-Shot learning	124
Semantic segmentation-based conservation tillage corn straw return cover type recognition	124
Robust crop row detection using discrete Fourier transform (DFT) for vision-based in-field navigation	123
Reliable plant segmentation under variable greenhouse illumination conditions	120
Improving detection of wheat canopy chlorophyll content based on inhomogeneous light correction	118
TrackPlant3D: 3D organ growth tracking framework for organ-level dynamic phenotyping	118
Real-time fruit detection using deep neural networks on CPU (RTFD): An edge AI application	117
Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data	116
Row anchor selection classification method for early-stage crop row-following	116
An improved multi-objective brainstorming algorithm with the application of rapeseed germination characteristics optimization	115
Editorial Board	112
Editorial Board	111
Development of an energy-saving PWM driving method for precision pesticide application using adjustable frequency and characterization of spray	110
LiDAR-sensed tree canopy correction in uneven terrain conditions using a sensor fusion approach for precision sprayers	110
Ultrasound technology supplements zinc in soybean seeds and increases the photosynthetic efficiency of seedlings	108
Attention-aided semantic segmentation network for weed identification in pineapple field	108
Rice threshing state prediction of threshing cylinder undergoing unbalanced harmonic response	108
Vision-based apple quality grading with multi-view spatial network	107
Advancing digital ampelography: Automated classification of grapevine varieties	106
Universal bovine identification via depth data and deep metric learning	104
Study on the modeling method of sunflower seed particles based on the discrete element method	103
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	103
TranNas-NirCR: A method for improving the diagnosis of asymptomatic wheat scab with transfer learning and neural architecture search	102
Assessing environmental control strategies in cage-free aviary housing systems: Egg production analysis and Random Forest modeling	101
Design of cost-effective LED based prototypes for the evaluation of grape (Vitis vinifera L.) ripeness	98
Optimizing the path of seedling transplanting with multi-end effectors by using an improved greedy annealing algorithm	96
General modeling and energy management optimization for the fuel cell electric tractor with mechanical shunt type	96
Electronic sensing combined with machine learning models for predicting soil nutrient content	95
A 3D functional plant modelling framework for agricultural digital twins	94
Real-time defects detection for apple sorting using NIR cameras with pruning-based YOLOV4 network	94
The use of accelerometers for the remote detection of mounting in rams and testosterone-treated wethers	93
Influencing factors of hog production based on geographical detection, OLS, and GWR—a case study in Jilin Province	92
Modeling response of spring wheat yield to soil water and salt contents and its application in scheduling brackish water irrigation	92
A multi-species pest recognition and counting method based on a density map in the greenhouse	91
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	91
Wolfberry recognition and picking-point localization technology in natural environments based on improved Yolov8n-Pose-LBD	91
An integrated approach for estimating soil health: Incorporating digital elevation models and remote sensing of vegetation	90
Multi-object tracking using Deep SORT and modified CenterNet in cotton seedling counting	90
A robotic orchard platform increases harvest throughput by controlling worker vertical positioning and platform speed	88
Study on the throwing device of residual film recycling machine for the plough layer	87
Numerical simulation of the spatial and temporal distributions of the downwash airflow and spray field of a co-axial eight-rotor plant protection UAV in hover	87
DEM simulation for draft force prediction of moldboard plow according to the tillage depth in cohesive soil	86
Predictive modeling of Satureja rechingeri essential oil yield and composition under water deficit and soil amendment conditions using artificial neural networks (ANNs)	85
Estimating cotton leaf nitrogen by combining the bands sensitive to nitrogen concentration and oxidase activities using hyperspectral imaging	84
Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals	84
Prediction and optimization of emission in an agricultural harvest engine with biodiesel-diesel blends by a method of ANN and CMA-ES	83
Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards	83
Prediction of corn variety yield with attribute-missing data via graph neural network	83
High-fidelity 3D reconstruction of plants using Neural Radiance Fields	82

Upgrading swin-B transformer-based model for accurately identifying ripe strawberries by coupling task-aligned one-stage object detection mechanism	82
Predicting physiological responses of dairy cows using comprehensive variables	82
Integration and preliminary evaluation of a robotic cotton harvester prototype	82
3D shape sensing and deep learning-based segmentation of strawberries	81
Swarm robots in mechanized agricultural operations: A review about challenges for research	80