Computers and Electronics in Agriculture

Papers
(The median citation count of Computers and Electronics in Agriculture is 9. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Strategic planning in citriculture: An optimization approach370
Influence of computed tomography X-ray doses on maize root and shoot development in A controlled environment332
Editorial Board314
Editorial Board290
An automatic eye surface-fundus double imaging system for estimation of vitamin A levels in Japanese Black Cattle281
Terrain classification method using an NIR or RGB camera with a CNN-based fusion of vision and a reduced-order proprioception model276
Handling intra-class imbalance in part-segmentation of different wheat cultivars213
Design and performance verification of an intelligent pollination robot for facility tomatoes200
SiamFCA: A new fish single object tracking method based on siamese network with coordinate attention in aquaculture196
Attention-aided semantic segmentation network for weed identification in pineapple field190
Ultrasound technology supplements zinc in soybean seeds and increases the photosynthetic efficiency of seedlings174
Development of an automated and artificial intelligence assisted pressure chamber for stem water potential determination165
Collaborative optimization method of cleaning operational performance and multiparameter online control system for combine harvesters158
On the limit: Estimating round baler torque for grass harvesting scenarios157
A parametric maize leaf model quantifying morphology and geometry via 3D triangle mesh157
Design of robot navigation system under spatial constraints in shiitake mushroom fruiting room157
CRODNet: Cascaded learning network for contactless top-view cattle rotated object detection152
TranNas-NirCR: A method for improving the diagnosis of asymptomatic wheat scab with transfer learning and neural architecture search151
Comprehensive investigation of corrugated fiberboard boxes with edge vents for ambient loading of chinese cabbage: Part I - Computational fluid dynamics simulation and experimental validation146
Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals144
Comparison of soil property predictions in Lithuanian croplands using UAV, satellite, EMI data and machine learning142
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
MFENet: Multi-scale feature extraction network for images deblurring and segmentation of swinging wolfberry branch134
Modeling response of spring wheat yield to soil water and salt contents and its application in scheduling brackish water irrigation133
A novel automatic detection method for abnormal behavior of single fish using image fusion132
Electronic sensing combined with machine learning models for predicting soil nutrient content132
A dual-level interactive cascade network for agricultural machinery trajectory operation mode identification131
A triaxial in-situ stress measurement system for investigating radial variability of the vertical-to-lateral pressure ratio in grain silos131
Influencing factors of hog production based on geographical detection, OLS, and GWR—a case study in Jilin Province130
Discrete element modeling of a cultivated soil-residual film composite and simulation of spatial excavation-throwing kinematics128
A novel self-supervised method for in-field occluded apple ripeness determination128
TrackPlant3D: 3D organ growth tracking framework for organ-level dynamic phenotyping124
Precision monitoring of rice nitrogen fertilizer levels based on machine learning and UAV multispectral imagery124
Convolutional Neural Networks accurately predict soil matric potential from soil, weather, and satellite-derived data123
Cloud-hosting of agricultural crop simulator and optimizer for model calibration and farm input recommendations122
Estimation of green and blue water evapotranspiration using machine learning algorithms with limited meteorological data: A case study in Amu Darya River Basin, Central Asia122
Advancing digital ampelography: Automated classification of grapevine varieties117
Detection and quantification of cotton trichomes by deep learning algorithm115
Low-altitude remote sensing and deep learning-based canopy detection method for the navigation of orchard unmanned ground vehicles115
Characterization of social cohesion status of pre-weaning piglets based on lightweight pose estimation114
Bayesian network versus variational Bayesian Linear Regression Model for predicting penetration resistance and compaction factors in agricultural soils113
Predicting physiological responses of dairy cows using comprehensive variables113
Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data111
Prediction of European cropland soil carbon and nitrogen using Vis-NIR spectroscopy with PLSR: Effects of spectral resolution and environmental variables111
Optimizing path planning for a single tracked combine harvester: A comprehensive approach to harvesting and unloading processes110
Improving detection of wheat canopy chlorophyll content based on inhomogeneous light correction110
The use of accelerometers for the remote detection of mounting in rams and testosterone-treated wethers110
P2OP—Plant Pathology on Palms: A deep learning-based mobile solution for in-field plant disease detection109
Study on the throwing device of residual film recycling machine for the plough layer109
Long-distance soil moisture monitoring via Helmholtz resonator–enhanced acoustic transmission and Swin-Transformer modeling109
Robust counting for multi-species plants based on Few-Shot learning109
An accurate handheld device to measure log diameter and volume using machine vision technique108
Using mobile-based augmented reality and object detection for real-time Abalone growth monitoring107
Study on hyperspectral monitoring model of soil total nitrogen content based on fractional-order derivative106
A robotic orchard platform increases harvest throughput by controlling worker vertical positioning and platform speed106
Rapid mapping of soybean planting areas under complex crop structures: A modified GWCCI approach105
Wolfberry recognition and picking-point localization technology in natural environments based on improved Yolov8n-Pose-LBD105
Numerical analyses ridge-forming for whole film-mulching and double ridge-furrow, a discrete element method105
Uncertainty quantification of nitrogen use efficiency prediction in China using Monte Carlo simulation and quantile regression forests104
Smart fuzzy irrigation system for litchi orchards104
Design and experimental study of a seed potato cutting machine and its machine vision-based defective tuber removal system103
A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings103
Finding the lowest damage picking mode for tomatoes based on finite element analysis102
A method for segmentation and localization of tomato lateral pruning points in complex environments based on improved YOLOV5101
From individual identification to behavioral sensing—evolution and challenges of RFID technology in precision livestock farming100
Plant 3D-2D-ResNet-SE: Monitoring the changes of leaf water content and chlorophyll in Betula luminifera seedlings during drought stress100
Design and experiment of adaptive adjustment of threshing gaps based on the feed rate monitoring of soybean combine harvester conveyor trough99
Potato plant phenotyping and characterisation utilising machine learning techniques: A state-of-the-art review and current trends99
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 hover98
Multi-objective optimal regulation model and system based on whole plant photosynthesis and light use efficiency of lettuce98
Optimizing the path of seedling transplanting with multi-end effectors by using an improved greedy annealing algorithm98
Combining biomass production model with machine learning regression of critical nitrogen concentration for estimating grassland nitrogen requirements97
Detection and tracking of agricultural spray droplets using GSConv-enhanced YOLOv5s and DeepSORT96
High-Frequency, real-time parcel-level agricultural monitoring Framework: Integrating Tower-Based cameras and artificial intelligence96
Variety classification and identification of jujube based on near-infrared spectroscopy and 1D-CNN96
Laboratory and field comparison of onboard and remote sensors for canopy characterisation in vineyards95
Design, integration, and evaluation of a dual-arm robotic system for high throughput sampling from potato tubers95
i-RAT: A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices95
Integration and preliminary evaluation of a robotic cotton harvester prototype95
An improved multi-objective brainstorming algorithm with the application of rapeseed germination characteristics optimization95
Multi-object tracking using Deep SORT and modified CenterNet in cotton seedling counting94
Exploring straw movement through the simulation of shovel-type seedbed preparation machine-straw-soil interaction using the DEM-MBD coupling method94
Research on the impact of tandem transport process on distribution performance of air-assisted centralized seed metering device based on numerical simulation93
Reliable plant segmentation under variable greenhouse illumination conditions93
An adaptive expert-in-the-loop algorithm for flock-specific anomaly detection in laying hen production93
General modeling and energy management optimization for the fuel cell electric tractor with mechanical shunt type92
Prediction of corn variety yield with attribute-missing data via graph neural network92
Semantic segmentation-based conservation tillage corn straw return cover type recognition92
CFD simulations of supplemental cooling techniques in cross-ventilated dairy buildings and associated greenhouse gas emissions91
Assessment and transferability analysis of soil total nitrogen with different particle sizes based on proximal hyperspectral imaging91
Collaborative path planning and task allocation for multiple agricultural machines91
An integrated approach for estimating soil health: Incorporating digital elevation models and remote sensing of vegetation90
A CNN-based framework for estimation of root length, diameter, and color from in situ minirhizotron images90
Spectral-based estimation of chlorophyll content and determination of background interference mechanisms in low-coverage rice90
SCORE-DETR: An efficient Transformer-based network for small and occluded citrus detection90
Robust crop row detection using discrete Fourier transform (DFT) for vision-based in-field navigation90
DCS-YOLO: A blueberry maturity detection model in complex environments89
Upgrading swin-B transformer-based model for accurately identifying ripe strawberries by coupling task-aligned one-stage object detection mechanism89
A predictive model of photosynthetic rates for eggplants: Integrating physiological and environmental parameters88
Universal bovine identification via depth data and deep metric learning88
Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality87
Accurately estimate soybean growth stages from UAV imagery by accounting for spatial heterogeneity and climate factors across multiple environments86
Quality classification of stored wheat based on evidence reasoning rule and stacking ensemble learning85
Rice threshing state prediction of threshing cylinder undergoing unbalanced harmonic response85
Novel approaches for a brix prediction model in Rondo wine grapes using a hyperspectral Camera: Comparison between destructive and Non-destructive sensing methods84
A generative AI-enhanced multitask learning framework for weed detection and drivable area segmentation in smart agriculture83
Grasping perception and prediction model of kiwifruit firmness based on flexible sensing claw83
A multi-species pest recognition and counting method based on a density map in the greenhouse81
Conductive heat loss of sows in a ventilated environment identified by steady CFD-CHT modelling considering thermophysiological effects80
Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards80
Pest-PVT: A model for multi-class and dense pest detection and counting in field-scale environments80
A 3D phenotyping pipeline for peanut plants using point cloud79
A 3D functional plant modelling framework for agricultural digital twins79
TinySeg: A deep learning model for small target segmentation of grape pedicels with multi-attention and multi-scale feature fusion78
Real-time fruit detection using deep neural networks on CPU (RTFD): An edge AI application78
CTWheatNet: Accurate detection model of wheat ears in field77
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 technolo77
Harnessing deep learning for plant species classification: A comprehensive review77
The application progress and research trends of knowledge graphs and large language models in agriculture77
Improved pest and disease spread model for simulating the spread of invasive species: A case study of pine wilt disease77
Development of an energy-saving PWM driving method for precision pesticide application using adjustable frequency and characterization of spray77
RGB camera-based monocular stereo vision applied in plant phenotype: A survey77
Zeugodacus fruit flies (Diptera: Tephritidae) host preference analysis by machine learning-based approaches77
Predictive modeling of Satureja rechingeri essential oil yield and composition under water deficit and soil amendment conditions using artificial neural networks (ANNs)77
Smart environments in digital agriculture: a systematic review and taxonomy76
AI- and data-driven crop rotation planning76
Advancing site-specific disease and pest management in precision agriculture: From reasoning-driven foundation models to adaptive, feedback-based learning76
YOLO-based detection of Halyomorpha halys in orchards using RGB cameras and drones76
Key technologies in apple harvesting robot for standardized orchards: A comprehensive review of innovations, challenges, and future directions74
High-fidelity 3D reconstruction of plants using Neural Radiance Fields74
Three-dimensional trajectory extraction and flower structure coupling method for bee-flower interactions73
Discrete element simulation and experimental verification: Effect of spray position in rotary tillage on the spatial redistribution of liquid soil amendments73
A novel heat-pulse probe for measuring soil thermal conductivity: Field test under different tillage practices73
Editorial Board72
Research on site selection of agricultural internet of things nodes based on rapid terrain sampling72
Edge-RegNet: An adaptive edge-aware fusion and task alignment framework for detecting Papilionidae larvae on citrus72
SHEEPFEARNET: Sheep fear test behaviors classification approach from video data based on optical flow and convolutional neural networks72
Detection of anomalies in bee colony using transitioning state and contrastive autoencoders72
Self-Supervised Domain-Adaptive learning for Self-Labeling unknown rice grains during actual rice transportation process72
Artificial intelligence assisted tomato plant monitoring system – An experimental approach based on universal multi-branch general-purpose convolutional neural network72
IoT-based automated monitoring and assessment of tea shoot density using canopy imaging71
Improving soil organic carbon estimation in paddy fields using data augmentation algorithm and deep neural network model based on optimal image date71
Corrigendum to “Real-time sensing of seed cotton moisture on cotton harvesters with temperature and pressure compensation” [Comput. Electron. Agric. 239(Part B) (2025) 110939]71
Editorial Board71
Novel encoding technique to evolve convolutional neural network as a multi-criteria problem for plant image segmentation71
Coupling of weather generator and crop model for enhanced low-temperature stress sample augmentation in Henan Province, PR China71
Multi-source data fusion improved the potential of proximal fluorescence sensors in predicting nitrogen nutrition status across winter wheat growth stages71
Multi-posture RGB-D image fusion for weight estimation of unconstrained pigs in group housing conditions70
Improved corn phenology monitoring using translation and weighting of characteristic points from time-series vegetation index70
Optimizing two-stream asymmetric feature extraction architecture with dynamic re-parameterization for enhancing beef cattle weight estimation70
Artichoke deep learning detection network for site-specific agrochemicals UAS spraying70
A modularized parallel distributed High–Performance computing framework for simulating seasonal frost dynamics in Canadian croplands70
Operational workflow to simulate biophysical variables, based on the coupled WRF/SEBAL models70
A meta-learning method for recommending random forest model to simulate land use efficiency in maize-soybean intercropping70
Research on automatic judgment algorithm for turning mode of agricultural machinery69
Efficient weed segmentation in maize fields: A semi-supervised approach for precision weed management with reduced annotation overhead69
Developing an image processing pipeline to improve the position accuracy of single UAV images69
TFMFT: Transformer-based multiple fish tracking69
Emergency obstacle avoidance system of sugarcane basecutter based on improved YOLOv5s69
Autonomous navigation method of jujube catch-and-shake harvesting robot based on convolutional neural networks68
Assessment of spray nozzles on water distribution on cow’s surface and efficiency of water utilization by CFD68
Combined use of spectral resampling and machine learning algorithms to estimate soybean leaf chlorophyll68
An efficient seeding state monitoring system of a pneumatic dibbler based on an interdigital capacitive sensor68
Classifying grain and impurity to assess maize cleaning loss using time–frequency images of vibro-piezoelectric signals coupling machine learning68
Remote sensing estimation for winter wheat plant nitrogen based on nitrogen distribution model building and leaf nitrogen quantitatively inversion using vegetation index clustering method67
A free-space method for microwave measurement of bulk crop dielectric properties in-situ67
Integrating ecological niche and epidemiological models to predict wheat fusarium head blight using remote sensing and meteorological data67
Optimizing the design of a multi-stage tangential roller threshing unit using CFD modeling and experimental studies67
Formation and evolution of apple (Malus pumila Mill.) bruising based on high-speed camera verification and finite element method67
Investigation of seeding performance of a novel high-speed precision seed metering device based on numerical simulation and high-speed camera67
Key-waypoint-guided global coverage path planning system for unmanned ground vehicles in orchards66
OSNet: an oriented instance segmentation network of breeding plot extraction from UAV RGB imagery66
An ensemble of deep learning frameworks applied for pig cough recognition in a complex piggery environment66
Opinion: Agricultural cybernetics, what it is, why needs it and what needs to do66
Development, integration, and field evaluation of an autonomous Agaricus bisporus picking robot66
Placement and drone flight path mapping of agricultural soil sensors using machine learning66
Application of improved RRT algorithm by multi-strategy fusion in path planning for robotic manipulator: A case study of multi-posture dragon fruit picking66
A novel approach for the 3D localization of branch picking points based on deep learning applied to longan harvesting UAVs66
Growth characteristics based multi-class kiwifruit bud detection with overlap-partitioning algorithm for robotic thinning65
Evaluation of different light intensities on the well-being, productivity, and eggs quality of laying hens65
Hierarchical control strategy for improving rotary tillage stability and efficiency of hybrid tractors using regenerative braking65
FieldSeg: A scalable agricultural field extraction framework based on the Segment Anything Model and 10-m Sentinel-2 imagery65
A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing65
Chance-constrained stochastic MPC of greenhouse production systems with parametric uncertainty65
RicePest-DETR: A transformer-based model for accurately identifying small rice pest by end-to-end detection mechanism64
Urban street tree dataset for image classification and instance segmentation64
Transfer large models to crop pest recognition—A cross-modal unified framework for parameters efficient fine-tuning64
WeedVision: A single-stage deep learning architecture to perform weed detection and segmentation using drone-acquired images64
Intelligent detection of Multi-Class pitaya fruits in target picking row based on WGB-YOLO network64
Proposal for a framework to manage the barriers that hinder the development of agriculture 4.0 in the agricultural production chain63
Next Generation Task Controller for agricultural Machinery using OPC Unified architecture63
Estimating leaf nitrogen and chlorophyll content in wheat by correcting canopy structure effect through multi-angular remote sensing63
Analysis of the resistance reduction mechanism of potato bionic digging shovels in clay and heavy soil conditions63
Analysis of slope-adaptive in covering-compacting device for no-till sowing based on DEM-MBD63
3D reconstruction of plants using probabilistic voxel carving63
Enhancing green guava segmentation with texture consistency loss and reverse attention mechanism under complex background63
Kriging prior regression: A case for kriging-based spatial features with TabPFN in soil mapping63
Quick turn headland-turning control strategy for autonomous rice transplanters63
Trailer-referenced autonomous navigation of agricultural tractor–trailer systems62
A long-term evaluation of soil moisture sensing based on wireless communication62
Generating labeled samples based on improved cDCGAN for hyperspectral data augmentation: A case study of drought stress identification of strawberry leaves62
MangoSense: A time-series vision sensing dataset for mango tree segmentation and detection toward yield prediction62
Improved lightweight YOLOv5n-based network for bruise detection and length classification of asparagus62
Analyzing the synergistic impact of UAV-based technology and knapsack sprayer on weed management, yield-contributing traits, and yield in wheat (Triticum aestivum L.) for enhanced agricultural operati61
WCG-VMamba: A multi-modal classification model for corn disease61
Improving the estimation accuracy of soil organic matter based on the fusion of near-infrared and Raman spectroscopy using the outer-product analysis61
Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields61
In-situ analysis of nitrogen stress in field-grown wheat: Raman spectroscopy as a non-destructive and rapid method61
Development of a line following autonomous spraying vehicle with Machine vision-based leaf density estimation for cherry tomato greenhouses61
Feed formulation using multi-objective Bayesian optimization61
Drone multispectral imaging captures the effects of soil mineral nitrogen on canopy structure and nitrogen use efficiency in wheat61
A novel method for forest spatial structure heterogeneity evaluation of plantation utilizing point-wise vector network and neighborhood index61
Unveiling preferred chemoattractants for rhizosphere PGPR colonization by molecular docking and molecular dynamics simulations61
AGSPNet: A framework for parcel-scale crop fine-grained semantic change detection from UAV high-resolution imagery with agricultural geographic scene constraints61
Machine learning methods for efficient and automated in situ monitoring of peach flowering phenology61
Recognition of aggressive behavior of group-housed pigs based on CNN-GRU hybrid model with spatio-temporal attention mechanism60
NLCS - A novel coordinate system for spatial analysis on hyperspectral leaf images and an improved nitrogen index for soybean plants60
Weed detection in sesame fields using a YOLO model with an enhanced attention mechanism and feature fusion60
Tomato 3D pose detection algorithm based on keypoint detection and point cloud processing60
Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm60
Coupling localized Noah-MP-Crop model with the WRF model improved dynamic crop growth simulation across Northeast China60
Branch segmentation and phenotype extraction of apple trees based on improved Laplace algorithm60
An integrated multi-modeling framework to estimate potential rice and energy production under an agrivoltaic system60
Deep learning-based postharvest strawberry bruise detection under UV and incandescent light59
Multi-Sensors based smart nutrient reuse management system for closed soilless culture under protected cultivation59
A two-stage recognition method based on deep learning for sheep behavior59
Star-YOLO: A lightweight and efficient model for weed detection in cotton fields using advanced YOLOv8 improvements59
Development of a multi-way coupled discrete-finite element method simulation procedure for modelling soil-passive vibration tool interaction59
A drought stress-sensing technique based on wavelet entropy of chlorophyll fluorescence excited with pseudo-random binary sequence59
Agricultural tractor dynamics simulation research based on a driving simulator with real-time human-machine interaction59
Segmentation of weeds and crops using multispectral imaging and CRF-enhanced U-Net58
A model suitable for estimating above-ground biomass of potatoes at different regional levels58
Estimating soil mineral nitrogen from data-sparse field experiments using crop model-guided deep learning approach58
Design and evaluation of two heuristic-based interactive controllers for selective apple harvest58
Wheat spike localization and counting via hybrid UNet architectures58
Navigation path recognition between rows of fruit trees based on semantic segmentation58
Precision variable-rate fertilizer application method based on real-time field soil electrical conductivity sensing58
Fish body midline segmentation using binary search58
VIS-NIR transmittance hyperspectral image reconstruction for litchi fruits58
Thresholding and continuous wavelet transform (CWT) analysis of Ground Penetrating Radar (GPR) data for estimation of potato biomass58
Calculating flow rate for ceramic emitters in subsurface infiltration irrigation under various soil types based on fractal capillary bundle model58
Autonomous navigation using machine vision and self-designed fiducial marker in a commercial chicken farming house57
Water quality parameter analysis model based on fish behavior57
Interpretable ensemble learning facilitated digital mapping and driver assessment of soil available phosphorus57
UAV hyperspectral prediction of soil nutrients using the cluster-hybrid method57
Ground-based on-line weed control using computer vision: Analyzing the inference time-accuracy dilemma56
Physiology at work to model apple expansion growth and skin pigment changes56
Dynamics of weed growth in an apple orchard tree strip56
Simultaneous detection of reference lines in paddy fields using a machine vision-based framework56
Deep multi-task learning for stem water potential prediction : Actionable guidelines56
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