Computers and Electronics in Agriculture

Papers
(The TQCC of Computers and Electronics in Agriculture is 20. 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
RGB camera-based monocular stereo vision applied in plant phenotype: A survey87
Swarm robots in mechanized agricultural operations: A review about challenges for research87
A novel self-supervised method for in-field occluded apple ripeness determination87
Multi-object tracking using Deep SORT and modified CenterNet in cotton seedling counting87
Study on the modeling method of sunflower seed particles based on the discrete element method86
Smart fuzzy irrigation system for litchi orchards86
Optimizing path planning for a single tracked combine harvester: A comprehensive approach to harvesting and unloading processes86
TrackPlant3D: 3D organ growth tracking framework for organ-level dynamic phenotyping86
The use of accelerometers for the remote detection of mounting in rams and testosterone-treated wethers86
High-Frequency, real-time parcel-level agricultural monitoring Framework: Integrating Tower-Based cameras and artificial intelligence86
Exploring straw movement through the simulation of shovel-type seedbed preparation machine-straw-soil interaction using the DEM-MBD coupling method86
Novel approaches for a brix prediction model in Rondo wine grapes using a hyperspectral Camera: Comparison between destructive and Non-destructive sensing methods86
AI- and data-driven crop rotation planning85
Applications of IoT for optimized greenhouse environment and resources management85
Collaborative optimization method of cleaning operational performance and multiparameter online control system for combine harvesters85
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 hover84
Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality84
High-fidelity 3D reconstruction of plants using Neural Radiance Fields84
Fusion of Mask RCNN and attention mechanism for instance segmentation of apples under complex background84
YOLO-based detection of Halyomorpha halys in orchards using RGB cameras and drones83
Pest-PVT: A model for multi-class and dense pest detection and counting in field-scale environments83
An integrated approach for estimating soil health: Incorporating digital elevation models and remote sensing of vegetation83
A dual-level interactive cascade network for agricultural machinery trajectory operation mode identification83
CTWheatNet: Accurate detection model of wheat ears in field83
Design of a lightweight robotic arm for kiwifruit pollination82
Variety classification and identification of jujube based on near-infrared spectroscopy and 1D-CNN82
Terrain classification method using an NIR or RGB camera with a CNN-based fusion of vision and a reduced-order proprioception model81
Collaborative path planning and task allocation for multiple agricultural machines81
Accurately estimate soybean growth stages from UAV imagery by accounting for spatial heterogeneity and climate factors across multiple environments80
Wolfberry recognition and picking-point localization technology in natural environments based on improved Yolov8n-Pose-LBD80
Real-time defects detection for apple sorting using NIR cameras with pruning-based YOLOV4 network80
Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards80
Robust counting for multi-species plants based on Few-Shot learning79
Reliable plant segmentation under variable greenhouse illumination conditions79
Prediction and optimization of emission in an agricultural harvest engine with biodiesel-diesel blends by a method of ANN and CMA-ES78
Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data78
Ultrasound technology supplements zinc in soybean seeds and increases the photosynthetic efficiency of seedlings77
A 3D functional plant modelling framework for agricultural digital twins77
The application progress and research trends of knowledge graphs and large language models in agriculture76
A method for segmentation and localization of tomato lateral pruning points in complex environments based on improved YOLOV576
Electronic sensing combined with machine learning models for predicting soil nutrient content76
A multi-species pest recognition and counting method based on a density map in the greenhouse76
Robust crop row detection using discrete Fourier transform (DFT) for vision-based in-field navigation76
Universal bovine identification via depth data and deep metric learning75
Improved pest and disease spread model for simulating the spread of invasive species: A case study of pine wilt disease75
CattleFaceNet: A cattle face identification approach based on RetinaFace and ArcFace loss75
Quick turn headland-turning control strategy for autonomous rice transplanters74
A novel method for forest spatial structure heterogeneity evaluation of plantation utilizing point-wise vector network and neighborhood index74
An integrated multi-modeling framework to estimate potential rice and energy production under an agrivoltaic system74
TFMFT: Transformer-based multiple fish tracking74
Optimizing the design of a multi-stage tangential roller threshing unit using CFD modeling and experimental studies74
Analysis of slope-adaptive in covering-compacting device for no-till sowing based on DEM-MBD73
A long-term evaluation of soil moisture sensing based on wireless communication73
OSNet: an oriented instance segmentation network of breeding plot extraction from UAV RGB imagery73
Recognition of aggressive behavior of group-housed pigs based on CNN-GRU hybrid model with spatio-temporal attention mechanism73
Quantifying the accuracies of six 30-m cropland datasets over China: A comparison and evaluation analysis72
Autonomous navigation method of jujube catch-and-shake harvesting robot based on convolutional neural networks72
WCG-VMamba: A multi-modal classification model for corn disease72
Improving soil organic carbon estimation in paddy fields using data augmentation algorithm and deep neural network model based on optimal image date72
Novel encoding technique to evolve convolutional neural network as a multi-criteria problem for plant image segmentation72
Combined use of spectral resampling and machine learning algorithms to estimate soybean leaf chlorophyll72
AGSPNet: A framework for parcel-scale crop fine-grained semantic change detection from UAV high-resolution imagery with agricultural geographic scene constraints72
Development, integration, and field evaluation of an autonomous Agaricus bisporus picking robot71
Artichoke deep learning detection network for site-specific agrochemicals UAS spraying71
Artificial intelligence assisted tomato plant monitoring system – An experimental approach based on universal multi-branch general-purpose convolutional neural network71
Intelligent detection of Multi-Class pitaya fruits in target picking row based on WGB-YOLO network71
ORYZA (v3) rice crop growth modeling for MR269 under nitrogen treatments: Assessment of cross-validation on parameter variability71
Soil moisture content estimation in winter wheat planting area for multi-source sensing data using CNNR70
Enhancing green guava segmentation with texture consistency loss and reverse attention mechanism under complex background70
A two-stage recognition method based on deep learning for sheep behavior70
Improved lightweight YOLOv5n-based network for bruise detection and length classification of asparagus69
NLCS - A novel coordinate system for spatial analysis on hyperspectral leaf images and an improved nitrogen index for soybean plants69
Perennial ryegrass biomass retrieval through multispectral UAV data68
Weed detection in sesame fields using a YOLO model with an enhanced attention mechanism and feature fusion68
Carp-DCAE: Deep convolutional autoencoder for carp fish classification68
Machine learning methods for efficient and automated in situ monitoring of peach flowering phenology68
Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm67
Developing an image processing pipeline to improve the position accuracy of single UAV images67
Generating labeled samples based on improved cDCGAN for hyperspectral data augmentation: A case study of drought stress identification of strawberry leaves66
Growth characteristics based multi-class kiwifruit bud detection with overlap-partitioning algorithm for robotic thinning66
Tomato 3D pose detection algorithm based on keypoint detection and point cloud processing66
Quantifying the relationships of soil properties and crop growth with yield in a NPK fertilizer application maize field66
Proposal for a framework to manage the barriers that hinder the development of agriculture 4.0 in the agricultural production chain66
Investigation of seeding performance of a novel high-speed precision seed metering device based on numerical simulation and high-speed camera66
In-situ analysis of nitrogen stress in field-grown wheat: Raman spectroscopy as a non-destructive and rapid method65
Emergency obstacle avoidance system of sugarcane basecutter based on improved YOLOv5s65
Integrating ecological niche and epidemiological models to predict wheat fusarium head blight using remote sensing and meteorological data65
WeedVision: A single-stage deep learning architecture to perform weed detection and segmentation using drone-acquired images65
Self-Supervised Domain-Adaptive learning for Self-Labeling unknown rice grains during actual rice transportation process64
A modularized parallel distributed High–Performance computing framework for simulating seasonal frost dynamics in Canadian croplands64
Research on site selection of agricultural internet of things nodes based on rapid terrain sampling64
Transfer large models to crop pest recognition—A cross-modal unified framework for parameters efficient fine-tuning64
Evaluation of different light intensities on the well-being, productivity, and eggs quality of laying hens64
Time-dependent performance evaluation of tire repair emergency systems in the agricultural stage of sugarcane mills64
Development of a computer vision approach as a useful tool to assist producers in harvesting yellow melon in northeastern Brazil64
A meta-learning method for recommending random forest model to simulate land use efficiency in maize-soybean intercropping64
Improved corn phenology monitoring using translation and weighting of characteristic points from time-series vegetation index64
Branch segmentation and phenotype extraction of apple trees based on improved Laplace algorithm64
Coupling of weather generator and crop model for enhanced low-temperature stress sample augmentation in Henan Province, PR China63
Operational workflow to simulate biophysical variables, based on the coupled WRF/SEBAL models63
Editorial Board63
A 3D grape bunch reconstruction pipeline based on constraint-based optimisation and restricted reconstruction grammar63
MangoSense: A time-series vision sensing dataset for mango tree segmentation and detection toward yield prediction63
SHEEPFEARNET: Sheep fear test behaviors classification approach from video data based on optical flow and convolutional neural networks62
Feed formulation using multi-objective Bayesian optimization61
Detection of anomalies in bee colony using transitioning state and contrastive autoencoders61
Development of a decision-making application for optimum soybean and maize fertilization strategies in Mato Grosso61
Unveiling preferred chemoattractants for rhizosphere PGPR colonization by molecular docking and molecular dynamics simulations61
Discrete element simulation and experimental verification: Effect of spray position in rotary tillage on the spatial redistribution of liquid soil amendments61
A novel heat-pulse probe for measuring soil thermal conductivity: Field test under different tillage practices61
Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields60
Developing and evaluating the feasibility of a new spatiotemporal fusion framework to improve remote sensing reflectance and dynamic LAI monitoring60
Improving the estimation accuracy of soil organic matter based on the fusion of near-infrared and Raman spectroscopy using the outer-product analysis60
Multi-source data fusion improved the potential of proximal fluorescence sensors in predicting nitrogen nutrition status across winter wheat growth stages60
Opinion: Agricultural cybernetics, what it is, why needs it and what needs to do60
Formation and evolution of apple (Malus pumila Mill.) bruising based on high-speed camera verification and finite element method60
3D reconstruction of plants using probabilistic voxel carving60
Efficient weed segmentation in maize fields: A semi-supervised approach for precision weed management with reduced annotation overhead60
Coupling localized Noah-MP-Crop model with the WRF model improved dynamic crop growth simulation across Northeast China60
Three-dimensional trajectory extraction and flower structure coupling method for bee-flower interactions60
Ask the plants directly: Understanding plant needs using electrical impedance measurements60
Drone multispectral imaging captures the effects of soil mineral nitrogen on canopy structure and nitrogen use efficiency in wheat59
Next Generation Task Controller for agricultural Machinery using OPC Unified architecture59
Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection59
A novel approach for the 3D localization of branch picking points based on deep learning applied to longan harvesting UAVs59
Estimating leaf nitrogen and chlorophyll content in wheat by correcting canopy structure effect through multi-angular remote sensing59
An ensemble of deep learning frameworks applied for pig cough recognition in a complex piggery environment59
Nondestructive discrimination of seedless from seeded watermelon seeds by using multivariate and deep learning image analysis59
Analysis of the resistance reduction mechanism of potato bionic digging shovels in clay and heavy soil conditions59
Urban street tree dataset for image classification and instance segmentation59
Data considerations for developing deep learning models for dairy applications: A simulation study on mastitis detection58
Placement and drone flight path mapping of agricultural soil sensors using machine learning58
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 operati58
Deep learning-based postharvest strawberry bruise detection under UV and incandescent light58
An efficient seeding state monitoring system of a pneumatic dibbler based on an interdigital capacitive sensor58
Multiobjective path optimization for autonomous land levelling operations based on an improved MOEA/D-ACO58
Assessment of spray nozzles on water distribution on cow’s surface and efficiency of water utilization by CFD57
Multi-Sensors based smart nutrient reuse management system for closed soilless culture under protected cultivation57
Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China57
Development of a line following autonomous spraying vehicle with Machine vision-based leaf density estimation for cherry tomato greenhouses57
Classifying grain and impurity to assess maize cleaning loss using time–frequency images of vibro-piezoelectric signals coupling machine learning57
RicePest-DETR: A transformer-based model for accurately identifying small rice pest by end-to-end detection mechanism57
Chance-constrained stochastic MPC of greenhouse production systems with parametric uncertainty57
FieldSeg: A scalable agricultural field extraction framework based on the Segment Anything Model and 10-m Sentinel-2 imagery57
Trailer-referenced autonomous navigation of agricultural tractor–trailer systems56
A drought stress-sensing technique based on wavelet entropy of chlorophyll fluorescence excited with pseudo-random binary sequence56
Star-YOLO: A lightweight and efficient model for weed detection in cotton fields using advanced YOLOv8 improvements56
Research on automatic judgment algorithm for turning mode of agricultural machinery56
Development of a multi-way coupled discrete-finite element method simulation procedure for modelling soil-passive vibration tool interaction56
Identifying causes of crop yield variability with interpretive machine learning56
A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing56
Combining multicolor fluorescence imaging with multispectral reflectance imaging for rapid citrus Huanglongbing detection based on lightweight convolutional neural network using a handheld device56
Study on seeding delay time and lag distance of automatic section control system for maize seeder55
Deep metric learning for individual cattle identification using coat patterns: Proposal for a best practice55
Retinex-inspired color correction and detail preserved fusion for underwater image enhancement55
DyMEP: R package for weather data-based phenology prediction for ten crops55
Making Australian Drought Monitor dataset findable, accessible, interoperable and reusable55
CYVIO: A visual inertial odometry to acquire real-time motion information of profiling tea harvester along the planting ridge55
Robotic self-supervised local view planning for efficient and scalable 3D plant reconstruction across varying plant sizes55
ACFTransUNet: A new multi-category soil pores 3D segmentation model combining Transformer and CNN with concentrated-fusion attention55
Maximizing the canopy openness for replanted Korean pine seedlings under secondary forests in northeast China54
Universal modeling for optimizing leafy vegetable production in an environment-controlled vertical farm54
Novel, technical advance: A new grapevine transpiration prototype for grape berries and whole bunch based on relative humidity sensors54
Dynamics of weed growth in an apple orchard tree strip54
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