Computers and Electronics in Agriculture

Papers
(The H4-Index of Computers and Electronics in Agriculture is 84. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Strategic planning in citriculture: An optimization approach469
Development of an automated and artificial intelligence assisted pressure chamber for stem water potential determination454
Cloud-hosting of agricultural crop simulator and optimizer for model calibration and farm input recommendations256
A triaxial in-situ stress measurement system for investigating radial variability of the vertical-to-lateral pressure ratio in grain silos244
Influencing factors of hog production based on geographical detection, OLS, and GWR—a case study in Jilin Province221
A predictive model of photosynthetic rates for eggplants: Integrating physiological and environmental parameters212
Handling intra-class imbalance in part-segmentation of different wheat cultivars199
LiDAR-sensed tree canopy correction in uneven terrain conditions using a sensor fusion approach for precision sprayers191
Comprehensive investigation of corrugated fiberboard boxes with edge vents for ambient loading of chinese cabbage: Part I - Computational fluid dynamics simulation and experimental validation182
Uncertainty quantification of nitrogen use efficiency prediction in China using Monte Carlo simulation and quantile regression forests172
Editorial Board171
A robotic orchard platform increases harvest throughput by controlling worker vertical positioning and platform speed169
SiamFCA: A new fish single object tracking method based on siamese network with coordinate attention in aquaculture163
Rice threshing state prediction of threshing cylinder undergoing unbalanced harmonic response160
Editorial Board159
Conductive heat loss of sows in a ventilated environment identified by steady CFD-CHT modelling considering thermophysiological effects155
An automatic eye surface-fundus double imaging system for estimation of vitamin A levels in Japanese Black Cattle153
The use of accelerometers for the remote detection of mounting in rams and testosterone-treated wethers151
i-RAT: A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices144
Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning143
An improved multi-objective brainstorming algorithm with the application of rapeseed germination characteristics optimization143
Predictive modeling of Satureja rechingeri essential oil yield and composition under water deficit and soil amendment conditions using artificial neural networks (ANNs)143
Detection and quantification of cotton trichomes by deep learning algorithm140
Real-time fruit detection using deep neural networks on CPU (RTFD): An edge AI application136
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 images135
Design and experiment of adaptive adjustment of threshing gaps based on the feed rate monitoring of soybean combine harvester conveyor trough131
Terrain classification method using an NIR or RGB camera with a CNN-based fusion of vision and a reduced-order proprioception model126
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 technolo126
Collaborative optimization method of cleaning operational performance and multiparameter online control system for combine harvesters126
Soybean seed counting and broken seed recognition based on image sequence of falling seeds125
Improved pest and disease spread model for simulating the spread of invasive species: A case study of pine wilt disease124
A smart cotton module tracking and monitoring system for handling logistics and cover damage123
Finding the lowest damage picking mode for tomatoes based on finite element analysis118
General modeling and energy management optimization for the fuel cell electric tractor with mechanical shunt type117
CFD simulations of supplemental cooling techniques in cross-ventilated dairy buildings and associated greenhouse gas emissions113
Joint optimization of autoencoder and Self-Supervised Classifier: Anomaly detection of strawberries using hyperspectral imaging113
Wolfberry recognition and picking-point localization technology in natural environments based on improved Yolov8n-Pose-LBD112
Smart fuzzy irrigation system for litchi orchards112
Study on the modeling method of sunflower seed particles based on the discrete element method111
TinySeg: A deep learning model for small target segmentation of grape pedicels with multi-attention and multi-scale feature fusion111
A method for segmentation and localization of tomato lateral pruning points in complex environments based on improved YOLOV5111
Collaborative path planning and task allocation for multiple agricultural machines107
Prediction of corn variety yield with attribute-missing data via graph neural network106
A novel automatic detection method for abnormal behavior of single fish using image fusion104
Attention-aided semantic segmentation network for weed identification in pineapple field104
Quality classification of stored wheat based on evidence reasoning rule and stacking ensemble learning103
Rapid mapping of soybean planting areas under complex crop structures: A modified GWCCI approach102
Semantic segmentation-based conservation tillage corn straw return cover type recognition102
Optimizing path planning for a single tracked combine harvester: A comprehensive approach to harvesting and unloading processes102
Advancing digital ampelography: Automated classification of grapevine varieties100
An accurate handheld device to measure log diameter and volume using machine vision technique99
A dual-level interactive cascade network for agricultural machinery trajectory operation mode identification99
Zeugodacus fruit flies (Diptera: Tephritidae) host preference analysis by machine learning-based approaches99
SCORE-DETR: An efficient Transformer-based network for small and occluded citrus detection99
The application progress and research trends of knowledge graphs and large language models in agriculture98
Electronic sensing combined with machine learning models for predicting soil nutrient content98
Assessment and transferability analysis of soil total nitrogen with different particle sizes based on proximal hyperspectral imaging97
Spectral-based estimation of chlorophyll content and determination of background interference mechanisms in low-coverage rice97
On the limit: Estimating round baler torque for grass harvesting scenarios96
Bayesian network versus variational Bayesian Linear Regression Model for predicting penetration resistance and compaction factors in agricultural soils95
Ultrasound technology supplements zinc in soybean seeds and increases the photosynthetic efficiency of seedlings95
Convolutional Neural Networks accurately predict soil matric potential from soil, weather, and satellite-derived data94
Upgrading swin-B transformer-based model for accurately identifying ripe strawberries by coupling task-aligned one-stage object detection mechanism94
TrackPlant3D: 3D organ growth tracking framework for organ-level dynamic phenotyping94
Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality93
Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals92
Robust crop row detection using discrete Fourier transform (DFT) for vision-based in-field navigation92
A CNN-based framework for estimation of root length, diameter, and color from in situ minirhizotron images89
Novel approaches for a brix prediction model in Rondo wine grapes using a hyperspectral Camera: Comparison between destructive and Non-destructive sensing methods89
Accurately estimate soybean growth stages from UAV imagery by accounting for spatial heterogeneity and climate factors across multiple environments89
Study on the throwing device of residual film recycling machine for the plough layer89
Modeling response of spring wheat yield to soil water and salt contents and its application in scheduling brackish water irrigation88
Laboratory and field comparison of onboard and remote sensors for canopy characterisation in vineyards88
MFENet: Multi-scale feature extraction network for images deblurring and segmentation of swinging wolfberry branch87
Prediction and optimization of emission in an agricultural harvest engine with biodiesel-diesel blends by a method of ANN and CMA-ES87
Reliable plant segmentation under variable greenhouse illumination conditions87
A novel self-supervised method for in-field occluded apple ripeness determination87
Predicting physiological responses of dairy cows using comprehensive variables87
Numerical analyses ridge-forming for whole film-mulching and double ridge-furrow, a discrete element method87
AI- and data-driven crop rotation planning86
Potato plant phenotyping and characterisation utilising machine learning techniques: A state-of-the-art review and current trends86
Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data86
An integrated approach for estimating soil health: Incorporating digital elevation models and remote sensing of vegetation86
Automatic recognition method of cow ruminating behaviour based on edge computing85
Detection and tracking of agricultural spray droplets using GSConv-enhanced YOLOv5s and DeepSORT84
TranNas-NirCR: A method for improving the diagnosis of asymptomatic wheat scab with transfer learning and neural architecture search84
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