Computers and Electronics in Agriculture

Papers
(The H4-Index of Computers and Electronics in Agriculture is 82. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
A smart cotton module tracking and monitoring system for handling logistics and cover damage462
Development of an automated and artificial intelligence assisted pressure chamber for stem water potential determination397
i-RAT: A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices387
Uncertainty quantification of nitrogen use efficiency prediction in China using Monte Carlo simulation and quantile regression forests238
Strategic planning in citriculture: An optimization approach213
Conductive heat loss of sows in a ventilated environment identified by steady CFD-CHT modelling considering thermophysiological effects190
Handling intra-class imbalance in part-segmentation of different wheat cultivars186
TrackPlant3D: 3D organ growth tracking framework for organ-level dynamic phenotyping183
Using mobile-based augmented reality and object detection for real-time Abalone growth monitoring182
General modeling and energy management optimization for the fuel cell electric tractor with mechanical shunt type168
A multi-species pest recognition and counting method based on a density map in the greenhouse163
Online forecasting of daily feed intake in lactating sows supported by offline time-series clustering, for precision livestock farming161
Novel approaches for a brix prediction model in Rondo wine grapes using a hyperspectral Camera: Comparison between destructive and Non-destructive sensing methods159
Soybean seed counting and broken seed recognition based on image sequence of falling seeds154
An improved multi-objective brainstorming algorithm with the application of rapeseed germination characteristics optimization152
Editorial Board148
A method for segmentation and localization of tomato lateral pruning points in complex environments based on improved YOLOV5143
Editorial Board143
Detection and tracking of agricultural spray droplets using GSConv-enhanced YOLOv5s and DeepSORT142
Collaborative optimization method of cleaning operational performance and multiparameter online control system for combine harvesters138
Detection and quantification of cotton trichomes by deep learning algorithm137
A novel self-supervised method for in-field occluded apple ripeness determination135
An adaptive expert-in-the-loop algorithm for flock-specific anomaly detection in laying hen production131
Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning130
CFD simulations of supplemental cooling techniques in cross-ventilated dairy buildings and associated greenhouse gas emissions130
Terrain classification method using an NIR or RGB camera with a CNN-based fusion of vision and a reduced-order proprioception model129
An automatic eye surface-fundus double imaging system for estimation of vitamin A levels in Japanese Black Cattle128
Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals128
Predictive modeling of Satureja rechingeri essential oil yield and composition under water deficit and soil amendment conditions using artificial neural networks (ANNs)124
A novel automatic detection method for abnormal behavior of single fish using image fusion123
Design of cost-effective LED based prototypes for the evaluation of grape (Vitis vinifera L.) ripeness120
Estimating cotton leaf nitrogen by combining the bands sensitive to nitrogen concentration and oxidase activities using hyperspectral imaging119
Key technologies in apple harvesting robot for standardized orchards: A comprehensive review of innovations, challenges, and future directions118
Accurately estimate soybean growth stages from UAV imagery by accounting for spatial heterogeneity and climate factors across multiple environments116
Universal bovine identification via depth data and deep metric learning116
IoT-Agro: A smart farming system to Colombian coffee farms116
Zeugodacus fruit flies (Diptera: Tephritidae) host preference analysis by machine learning-based approaches115
Assessing environmental control strategies in cage-free aviary housing systems: Egg production analysis and Random Forest modeling114
Study on the throwing device of residual film recycling machine for the plough layer113
MFENet: Multi-scale feature extraction network for images deblurring and segmentation of swinging wolfberry branch111
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 technolo110
Convolutional Neural Networks accurately predict soil matric potential from soil, weather, and satellite-derived data108
Predicting physiological responses of dairy cows using comprehensive variables107
Characterization of social cohesion status of pre-weaning piglets based on lightweight pose estimation106
A predictive model of photosynthetic rates for eggplants: Integrating physiological and environmental parameters106
Electronic sensing combined with machine learning models for predicting soil nutrient content103
CTWheatNet: Accurate detection model of wheat ears in field103
Estimation of green and blue water evapotranspiration using machine learning algorithms with limited meteorological data: A case study in Amu Darya River Basin, Central Asia102
Optimizing the path of seedling transplanting with multi-end effectors by using an improved greedy annealing algorithm102
Real-time fruit detection using deep neural networks on CPU (RTFD): An edge AI application98
Automatic recognition method of cow ruminating behaviour based on edge computing97
A 3D functional plant modelling framework for agricultural digital twins96
Row anchor selection classification method for early-stage crop row-following96
Upgrading swin-B transformer-based model for accurately identifying ripe strawberries by coupling task-aligned one-stage object detection mechanism96
Fusion of Mask RCNN and attention mechanism for instance segmentation of apples under complex background95
A CNN-based framework for estimation of root length, diameter, and color from in situ minirhizotron images93
Laboratory and field comparison of onboard and remote sensors for canopy characterisation in vineyards93
Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data93
An accurate handheld device to measure log diameter and volume using machine vision technique93
Potato plant phenotyping and characterisation utilising machine learning techniques: A state-of-the-art review and current trends92
Ultrasound technology supplements zinc in soybean seeds and increases the photosynthetic efficiency of seedlings91
LiDAR-sensed tree canopy correction in uneven terrain conditions using a sensor fusion approach for precision sprayers91
Bayesian network versus variational Bayesian Linear Regression Model for predicting penetration resistance and compaction factors in agricultural soils90
On the limit: Estimating round baler torque for grass harvesting scenarios89
Spectral-based estimation of chlorophyll content and determination of background interference mechanisms in low-coverage rice89
SiamFCA: A new fish single object tracking method based on siamese network with coordinate attention in aquaculture89
Attention-aided semantic segmentation network for weed identification in pineapple field88
Robust crop row detection using discrete Fourier transform (DFT) for vision-based in-field navigation88
Spatialized system to monitor vine flowering: Towards a methodology based on a low-cost wireless sensor network88
Using machine learning techniques to predict liquid dairy manure temperature during storage87
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 hover87
YOLO-based detection of Halyomorpha halys in orchards using RGB cameras and drones87
Rapid mapping of soybean planting areas under complex crop structures: A modified GWCCI approach86
Reliable plant segmentation under variable greenhouse illumination conditions86
Smart fuzzy irrigation system for litchi orchards84
Study on hyperspectral monitoring model of soil total nitrogen content based on fractional-order derivative84
AI- and data-driven crop rotation planning84
Semantic segmentation-based conservation tillage corn straw return cover type recognition83
Optimizing path planning for a single tracked combine harvester: A comprehensive approach to harvesting and unloading processes83
Wolfberry recognition and picking-point localization technology in natural environments based on improved Yolov8n-Pose-LBD83
P2OP—Plant Pathology on Palms: A deep learning-based mobile solution for in-field plant disease detection82
Advancing digital ampelography: Automated classification of grapevine varieties82
The application progress and research trends of knowledge graphs and large language models in agriculture82
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