Computers and Electronics in Agriculture

Papers
(The H4-Index of Computers and Electronics in Agriculture is 87. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Strategic planning in citriculture: An optimization approach509
Development of an automated and artificial intelligence assisted pressure chamber for stem water potential determination488
Cloud-hosting of agricultural crop simulator and optimizer for model calibration and farm input recommendations267
A triaxial in-situ stress measurement system for investigating radial variability of the vertical-to-lateral pressure ratio in grain silos264
Handling intra-class imbalance in part-segmentation of different wheat cultivars244
Influence of computed tomography X-ray doses on maize root and shoot development in A controlled environment233
Uncertainty quantification of nitrogen use efficiency prediction in China using Monte Carlo simulation and quantile regression forests230
Editorial Board213
Editorial Board195
An automatic eye surface-fundus double imaging system for estimation of vitamin A levels in Japanese Black Cattle185
i-RAT: A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices184
An improved multi-objective brainstorming algorithm with the application of rapeseed germination characteristics optimization178
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 images172
Design and experiment of adaptive adjustment of threshing gaps based on the feed rate monitoring of soybean combine harvester conveyor trough167
Detection and quantification of cotton trichomes by deep learning algorithm164
CFD simulations of supplemental cooling techniques in cross-ventilated dairy buildings and associated greenhouse gas emissions162
A smart cotton module tracking and monitoring system for handling logistics and cover damage158
Spectral-based estimation of chlorophyll content and determination of background interference mechanisms in low-coverage rice156
Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals156
Semantic segmentation-based conservation tillage corn straw return cover type recognition156
Rice threshing state prediction of threshing cylinder undergoing unbalanced harmonic response146
Sex type determination in papaya seeds and leaves using near infrared spectroscopy combined with multivariate techniques and machine learning145
MFENet: Multi-scale feature extraction network for images deblurring and segmentation of swinging wolfberry branch144
Precision monitoring of rice nitrogen fertilizer levels based on machine learning and UAV multispectral imagery142
Laboratory and field comparison of onboard and remote sensors for canopy characterisation in vineyards141
On the limit: Estimating round baler torque for grass harvesting scenarios139
Optimizing the path of seedling transplanting with multi-end effectors by using an improved greedy annealing algorithm133
Row anchor selection classification method for early-stage crop row-following130
Combining biomass production model with machine learning regression of critical nitrogen concentration for estimating grassland nitrogen requirements130
General modeling and energy management optimization for the fuel cell electric tractor with mechanical shunt type127
Low-altitude remote sensing and deep learning-based canopy detection method for the navigation of orchard unmanned ground vehicles127
Rapid mapping of soybean planting areas under complex crop structures: A modified GWCCI approach124
SCORE-DETR: An efficient Transformer-based network for small and occluded citrus detection123
A robotic orchard platform increases harvest throughput by controlling worker vertical positioning and platform speed120
A 3D phenotyping pipeline for peanut plants using point cloud118
TranNas-NirCR: A method for improving the diagnosis of asymptomatic wheat scab with transfer learning and neural architecture search116
Comprehensive investigation of corrugated fiberboard boxes with edge vents for ambient loading of chinese cabbage: Part I - Computational fluid dynamics simulation and experimental validation115
Vision-based apple quality grading with multi-view spatial network115
Finding the lowest damage picking mode for tomatoes based on finite element analysis114
Bayesian network versus variational Bayesian Linear Regression Model for predicting penetration resistance and compaction factors in agricultural soils113
Assessment and transferability analysis of soil total nitrogen with different particle sizes based on proximal hyperspectral imaging112
Advancing digital ampelography: Automated classification of grapevine varieties111
Convolutional Neural Networks accurately predict soil matric potential from soil, weather, and satellite-derived data111
Upgrading swin-B transformer-based model for accurately identifying ripe strawberries by coupling task-aligned one-stage object detection mechanism110
A predictive model of photosynthetic rates for eggplants: Integrating physiological and environmental parameters110
Conductive heat loss of sows in a ventilated environment identified by steady CFD-CHT modelling considering thermophysiological effects108
Predictive modeling of Satureja rechingeri essential oil yield and composition under water deficit and soil amendment conditions using artificial neural networks (ANNs)107
A CNN-based framework for estimation of root length, diameter, and color from in situ minirhizotron images105
Study on the throwing device of residual film recycling machine for the plough layer105
Study on hyperspectral monitoring model of soil total nitrogen content based on fractional-order derivative105
Assessing environmental control strategies in cage-free aviary housing systems: Egg production analysis and Random Forest modeling105
Influencing factors of hog production based on geographical detection, OLS, and GWR—a case study in Jilin Province104
An adaptive expert-in-the-loop algorithm for flock-specific anomaly detection in laying hen production103
TinySeg: A deep learning model for small target segmentation of grape pedicels with multi-attention and multi-scale feature fusion102
Improving detection of wheat canopy chlorophyll content based on inhomogeneous light correction102
Characterization of social cohesion status of pre-weaning piglets based on lightweight pose estimation102
Harnessing deep learning for plant species classification: A comprehensive review101
A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings101
Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review100
Multi-objective optimal regulation model and system based on whole plant photosynthesis and light use efficiency of lettuce99
Estimation of green and blue water evapotranspiration using machine learning algorithms with limited meteorological data: A case study in Amu Darya River Basin, Central Asia98
Integration and preliminary evaluation of a robotic cotton harvester prototype98
Development of an energy-saving PWM driving method for precision pesticide application using adjustable frequency and characterization of spray97
CRODNet: Cascaded learning network for contactless top-view cattle rotated object detection97
Design and performance verification of an intelligent pollination robot for facility tomatoes97
Zeugodacus fruit flies (Diptera: Tephritidae) host preference analysis by machine learning-based approaches96
Potato plant phenotyping and characterisation utilising machine learning techniques: A state-of-the-art review and current trends96
Numerical analyses ridge-forming for whole film-mulching and double ridge-furrow, a discrete element method94
Modeling response of spring wheat yield to soil water and salt contents and its application in scheduling brackish water irrigation94
Using mobile-based augmented reality and object detection for real-time Abalone growth monitoring94
P2OP—Plant Pathology on Palms: A deep learning-based mobile solution for in-field plant disease detection93
SiamFCA: A new fish single object tracking method based on siamese network with coordinate attention in aquaculture92
Quality classification of stored wheat based on evidence reasoning rule and stacking ensemble learning92
Grasping perception and prediction model of kiwifruit firmness based on flexible sensing claw92
Joint optimization of autoencoder and Self-Supervised Classifier: Anomaly detection of strawberries using hyperspectral imaging92
Soybean seed counting and broken seed recognition based on image sequence of falling seeds91
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 technolo90
Real-time fruit detection using deep neural networks on CPU (RTFD): An edge AI application90
A novel automatic detection method for abnormal behavior of single fish using image fusion90
Attention-aided semantic segmentation network for weed identification in pineapple field89
Prediction of corn variety yield with attribute-missing data via graph neural network88
Key technologies in apple harvesting robot for standardized orchards: A comprehensive review of innovations, challenges, and future directions88
Detection and tracking of agricultural spray droplets using GSConv-enhanced YOLOv5s and DeepSORT88
An accurate handheld device to measure log diameter and volume using machine vision technique88
Smart environments in digital agriculture: a systematic review and taxonomy88
Predicting physiological responses of dairy cows using comprehensive variables88
A novel self-supervised method for in-field occluded apple ripeness determination87
RGB camera-based monocular stereo vision applied in plant phenotype: A survey87
Swarm robots in mechanized agricultural operations: A review about challenges for research87
Multi-object tracking using Deep SORT and modified CenterNet in cotton seedling counting87
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