Computers and Electronics in Agriculture

Papers
(The H4-Index of Computers and Electronics in Agriculture is 90. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Strategic planning in citriculture: An optimization approach588
Influence of computed tomography X-ray doses on maize root and shoot development in A controlled environment551
Editorial Board311
Editorial Board310
An automatic eye surface-fundus double imaging system for estimation of vitamin A levels in Japanese Black Cattle277
i-RAT: A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices263
Predicting physiological responses of dairy cows using comprehensive variables252
A novel self-supervised method for in-field occluded apple ripeness determination223
SCORE-DETR: An efficient Transformer-based network for small and occluded citrus detection218
High-Frequency, real-time parcel-level agricultural monitoring Framework: Integrating Tower-Based cameras and artificial intelligence209
Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards208
Detection and tracking of agricultural spray droplets using GSConv-enhanced YOLOv5s and DeepSORT201
AI- and data-driven crop rotation planning197
An improved multi-objective brainstorming algorithm with the application of rapeseed germination characteristics optimization185
Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review183
Harnessing deep learning for plant species classification: A comprehensive review182
TinySeg: A deep learning model for small target segmentation of grape pedicels with multi-attention and multi-scale feature fusion173
MFENet: Multi-scale feature extraction network for images deblurring and segmentation of swinging wolfberry branch161
Design and experiment of adaptive adjustment of threshing gaps based on the feed rate monitoring of soybean combine harvester conveyor trough160
Estimation of green and blue water evapotranspiration using machine learning algorithms with limited meteorological data: A case study in Amu Darya River Basin, Central Asia150
Discrete element modeling of a cultivated soil-residual film composite and simulation of spatial excavation-throwing kinematics145
A multi-species pest recognition and counting method based on a density map in the greenhouse141
Terrain classification method using an NIR or RGB camera with a CNN-based fusion of vision and a reduced-order proprioception model139
Wolfberry recognition and picking-point localization technology in natural environments based on improved Yolov8n-Pose-LBD138
YOLO-based detection of Halyomorpha halys in orchards using RGB cameras and drones137
Optimizing path planning for a single tracked combine harvester: A comprehensive approach to harvesting and unloading processes135
Study on the modeling method of sunflower seed particles based on the discrete element method134
A 3D functional plant modelling framework for agricultural digital twins132
Pest-PVT: A model for multi-class and dense pest detection and counting in field-scale environments129
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 images128
Development of an automated and artificial intelligence assisted pressure chamber for stem water potential determination126
Smart environments in digital agriculture: a systematic review and taxonomy123
Collaborative path planning and task allocation for multiple agricultural machines121
Joint optimization of autoencoder and Self-Supervised Classifier: Anomaly detection of strawberries using hyperspectral imaging121
Key technologies in apple harvesting robot for standardized orchards: A comprehensive review of innovations, challenges, and future directions121
Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data120
Rice threshing state prediction of threshing cylinder undergoing unbalanced harmonic response120
A robotic orchard platform increases harvest throughput by controlling worker vertical positioning and platform speed119
Uncertainty quantification of nitrogen use efficiency prediction in China using Monte Carlo simulation and quantile regression forests116
Real-time fruit detection using deep neural networks on CPU (RTFD): An edge AI application116
Variety classification and identification of jujube based on near-infrared spectroscopy and 1D-CNN115
Precision monitoring of rice nitrogen fertilizer levels based on machine learning and UAV multispectral imagery115
Accurately estimate soybean growth stages from UAV imagery by accounting for spatial heterogeneity and climate factors across multiple environments114
The application progress and research trends of knowledge graphs and large language models in agriculture113
Spectral-based estimation of chlorophyll content and determination of background interference mechanisms in low-coverage rice112
A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings112
Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality112
CFD simulations of supplemental cooling techniques in cross-ventilated dairy buildings and associated greenhouse gas emissions111
Long-distance soil moisture monitoring via Helmholtz resonator–enhanced acoustic transmission and Swin-Transformer modeling111
Advancing digital ampelography: Automated classification of grapevine varieties110
Prediction of corn variety yield with attribute-missing data via graph neural network109
A predictive model of photosynthetic rates for eggplants: Integrating physiological and environmental parameters109
Comparison of soil property predictions in Lithuanian croplands using UAV, satellite, EMI data and machine learning108
Convolutional Neural Networks accurately predict soil matric potential from soil, weather, and satellite-derived data108
Detection and quantification of cotton trichomes by deep learning algorithm107
Predictive modeling of Satureja rechingeri essential oil yield and composition under water deficit and soil amendment conditions using artificial neural networks (ANNs)105
Potato plant phenotyping and characterisation utilising machine learning techniques: A state-of-the-art review and current trends105
Robust crop row detection using discrete Fourier transform (DFT) for vision-based in-field navigation104
Prediction of European cropland soil carbon and nitrogen using Vis-NIR spectroscopy with PLSR: Effects of spectral resolution and environmental variables104
Universal bovine identification via depth data and deep metric learning104
Study on hyperspectral monitoring model of soil total nitrogen content based on fractional-order derivative104
Exploring straw movement through the simulation of shovel-type seedbed preparation machine-straw-soil interaction using the DEM-MBD coupling method104
A 3D phenotyping pipeline for peanut plants using point cloud103
Integration and preliminary evaluation of a robotic cotton harvester prototype102
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 hover102
Modeling response of spring wheat yield to soil water and salt contents and its application in scheduling brackish water irrigation100
An adaptive expert-in-the-loop algorithm for flock-specific anomaly detection in laying hen production99
Upgrading swin-B transformer-based model for accurately identifying ripe strawberries by coupling task-aligned one-stage object detection mechanism99
An integrated approach for estimating soil health: Incorporating digital elevation models and remote sensing of vegetation99
A novel automatic detection method for abnormal behavior of single fish using image fusion98
Development of an energy-saving PWM driving method for precision pesticide application using adjustable frequency and characterization of spray98
Multi-object tracking using Deep SORT and modified CenterNet in cotton seedling counting98
Fusion of Mask RCNN and attention mechanism for instance segmentation of apples under complex background97
Applications of IoT for optimized greenhouse environment and resources management97
Ultrasound technology supplements zinc in soybean seeds and increases the photosynthetic efficiency of seedlings96
High-fidelity 3D reconstruction of plants using Neural Radiance Fields96
TrackPlant3D: 3D organ growth tracking framework for organ-level dynamic phenotyping95
Assessment and transferability analysis of soil total nitrogen with different particle sizes based on proximal hyperspectral imaging95
Optimizing the path of seedling transplanting with multi-end effectors by using an improved greedy annealing algorithm94
A CNN-based framework for estimation of root length, diameter, and color from in situ minirhizotron images94
Laboratory and field comparison of onboard and remote sensors for canopy characterisation in vineyards94
Assessing environmental control strategies in cage-free aviary housing systems: Egg production analysis and Random Forest modeling94
Soybean seed counting and broken seed recognition based on image sequence of falling seeds93
Robust counting for multi-species plants based on Few-Shot learning92
Novel approaches for a brix prediction model in Rondo wine grapes using a hyperspectral Camera: Comparison between destructive and Non-destructive sensing methods92
An accurate handheld device to measure log diameter and volume using machine vision technique92
Characterization of social cohesion status of pre-weaning piglets based on lightweight pose estimation92
The use of accelerometers for the remote detection of mounting in rams and testosterone-treated wethers92
Numerical analyses ridge-forming for whole film-mulching and double ridge-furrow, a discrete element method91
Design, integration, and evaluation of a dual-arm robotic system for high throughput sampling from potato tubers90
Multi-objective optimal regulation model and system based on whole plant photosynthesis and light use efficiency of lettuce90
Conductive heat loss of sows in a ventilated environment identified by steady CFD-CHT modelling considering thermophysiological effects90
A dual-level interactive cascade network for agricultural machinery trajectory operation mode identification90
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