Computers and Electronics in Agriculture

Article	Citations
Crop yield prediction using machine learning: A systematic literature review	698
Tomato plant disease detection using transfer learning with C-GAN synthetic images	293
Deep feature based rice leaf disease identification using support vector machine	283
Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments	282
Introducing digital twins to agriculture	245
A survey of deep learning techniques for weed detection from images	237
State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review	222
Image recognition of four rice leaf diseases based on deep learning and support vector machine	203
Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges	195
An optimized dense convolutional neural network model for disease recognition and classification in corn leaf	195
Few-Shot Learning approach for plant disease classification using images taken in the field	194
A survey on the 5G network and its impact on agriculture: Challenges and opportunities	192
Multi-class fruit-on-plant detection for apple in SNAP system using Faster R-CNN	191
Drones in agriculture: A review and bibliometric analysis	175
A review of computer vision technologies for plant phenotyping	174
A review on plant high-throughput phenotyping traits using UAV-based sensors	171
Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review	170
Multiclass classification of dry beans using computer vision and machine learning techniques	163
Systematic literature review of implementations of precision agriculture	159
Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming	159
Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach	159
A survey of public datasets for computer vision tasks in precision agriculture	155
An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease	153
Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network	143
Do we really need deep CNN for plant diseases identification?	138

CNN feature based graph convolutional network for weed and crop recognition in smart farming	135
Detection and classification of soybean pests using deep learning with UAV images	135
Plant diseases recognition on images using convolutional neural networks: A systematic review	127
A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices	126
A systematic literature review on the use of machine learning in precision livestock farming	122
A cucumber leaf disease severity classification method based on the fusion of DeepLabV3+ and U-Net	121
Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence	121
An overview of agriculture 4.0 development: Systematic review of descriptions, technologies, barriers, advantages, and disadvantages	112
Review of the internet of things communication technologies in smart agriculture and challenges	112
Recognition of rice leaf diseases and wheat leaf diseases based on multi-task deep transfer learning	110
AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection	107
Meta-learning baselines and database for few-shot classification in agriculture	102
Grape disease image classification based on lightweight convolution neural networks and channelwise attention	102
Assessment for crop water stress with infrared thermal imagery in precision agriculture: A review and future prospects for deep learning applications	101
Real-time growth stage detection model for high degree of occultation using DenseNet-fused YOLOv4	100
Disease detection in tomato leaves via CNN with lightweight architectures implemented in Raspberry Pi 4	100
Crop pest classification with a genetic algorithm-based weighted ensemble of deep convolutional neural networks	99
Identification of tomato leaf diseases based on combination of ABCK-BWTR and B-ARNet	98
A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images	97
3D global mapping of large-scale unstructured orchard integrating eye-in-hand stereo vision and SLAM	97
Multi-stream hybrid architecture based on cross-level fusion strategy for fine-grained crop species recognition in precision agriculture	97
A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping	95
Real-time detection and tracking of fish abnormal behavior based on improved YOLOV5 and SiamRPN++	89
Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning	89
Sequential forward selection and support vector regression in comparison to LASSO regression for spring wheat yield prediction based on UAV imagery	89
Applications of IoT for optimized greenhouse environment and resources management	88
Terahertz spectroscopy and imaging: A review on agricultural applications	88
Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review	87
Detecting soybean leaf disease from synthetic image using multi-feature fusion faster R-CNN	86
Multi-step ahead forecasting of daily reference evapotranspiration using deep learning	86
Classification of rice varieties with deep learning methods	85
Lightweight convolutional neural network model for field wheat ear disease identification	85
Applications of machine vision in agricultural robot navigation: A review	84
Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration	83
A deep learning approach for RGB image-based powdery mildew disease detection on strawberry leaves	83
Three-dimensional perception of orchard banana central stock enhanced by adaptive multi-vision technology	83
RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification	81
Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease	81
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages	81
A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings	81
Automatically detecting pig position and posture by 2D camera imaging and deep learning	81
RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism	80
Deep diagnosis: A real-time apple leaf disease detection system based on deep learning	79
Identification of cash crop diseases using automatic image segmentation algorithm and deep learning with expanded dataset	79
Strengthening consumer trust in beef supply chain traceability with a blockchain-based human-machine reconcile mechanism	79
Collision-free path planning for a guava-harvesting robot based on recurrent deep reinforcement learning	79
Detection and classification of tea buds based on deep learning	78
Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data	75
Citrus pests classification using an ensemble of deep learning models	75
Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation	74

MEAN-SSD: A novel real-time detector for apple leaf diseases using improved light-weight convolutional neural networks	74
An end-to-end model for rice yield prediction using deep learning fusion	73
Tomato leaf segmentation algorithms for mobile phone applications using deep learning	73
Corn cash price forecasting with neural networks	73
Retinex-inspired color correction and detail preserved fusion for underwater image enhancement	72
Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems	72
High-resolution satellite imagery applications in crop phenotyping: An overview	72
Accessing the temporal and spectral features in crop type mapping using multi-temporal Sentinel-2 imagery: A case study of Yi’an County, Heilongjiang province, China	72
Close-range hyperspectral imaging of whole plants for digital phenotyping: Recent applications and illumination correction approaches	72
Fusion of Mask RCNN and attention mechanism for instance segmentation of apples under complex background	72
Real-time defects detection for apple sorting using NIR cameras with pruning-based YOLOV4 network	71
EfficientNet-B4-Ranger: A novel method for greenhouse cucumber disease recognition under natural complex environment	71
Field detection of tiny pests from sticky trap images using deep learning in agricultural greenhouse	71
UAV environmental perception and autonomous obstacle avoidance: A deep learning and depth camera combined solution	71
Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review	70
Graph weeds net: A graph-based deep learning method for weed recognition	70
A modified U-Net with a specific data argumentation method for semantic segmentation of weed images in the field	70
Rachis detection and three-dimensional localization of cut off point for vision-based banana robot	70
Pose estimation and behavior classification of broiler chickens based on deep neural networks	70
Identifying sunflower lodging based on image fusion and deep semantic segmentation with UAV remote sensing imaging	70
Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes	70
Technological revolutions in smart farming: Current trends, challenges & future directions	69
Pest24: A large-scale very small object data set of agricultural pests for multi-target detection	69
A detection and severity estimation system for generic diseases of tomato greenhouse plants	69
Estimation of corn yield based on hyperspectral imagery and convolutional neural network	69
Technology progress in mechanical harvest of fresh market apples	68
Advances in gas sensors and electronic nose technologies for agricultural cycle applications	68
Optimal smart contract for autonomous greenhouse environment based on IoT blockchain network in agriculture	68
A DNN-based semantic segmentation for detecting weed and crop	67
A high-precision detection method of hydroponic lettuce seedlings status based on improved Faster RCNN	67
Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information	67
Internet of things for smart farming and frost intelligent control in greenhouses	67
Classification of soybean leaf wilting due to drought stress using UAV-based imagery	67
Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery	66
Fruit detection and load estimation of an orange orchard using the YOLO models through simple approaches in different imaging and illumination conditions	66
Disease and pest infection detection in coconut tree through deep learning techniques	66
Hyperspectral imaging and 3D technologies for plant phenotyping: From satellite to close-range sensing	66
Wild blueberry yield prediction using a combination of computer simulation and machine learning algorithms	66
Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods	66
A computer vision approach based on deep learning for the detection of dairy cows in free stall barn	65
Real-time strawberry detection using deep neural networks on embedded system (rtsd-net): An edge AI application	65
Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms	65
Prediction of dissolved oxygen in aquaculture based on gradient boosting decision tree and long short-term memory network: A study of Chang Zhou fishery demonstration base, China	65
Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images	64
Support Vector Machine in Precision Agriculture: A review	64
Cost-effective IoT devices as trustworthy data sources for a blockchain-based water management system in precision agriculture	63
Analysis of the spatial variations of determinants of agricultural production efficiency in China	63
Sensor-based mechanical weed control: Present state and prospects	63
Improving estimation of LAI dynamic by fusion of morphological and vegetation indices based on UAV imagery	63
Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking	63
Peach variety detection using VIS-NIR spectroscopy and deep learning	62
A novel apple fruit detection and counting methodology based on deep learning and trunk tracking in modern orchard	62
Fast and accurate green pepper detection in complex backgrounds via an improved Yolov4-tiny model	62
A novel green apple segmentation algorithm based on ensemble U-Net under complex orchard environment	62
Stereo-vision-based crop height estimation for agricultural robots	61
A new attention-based CNN approach for crop mapping using time series Sentinel-2 images	61
Extracting apple tree crown information from remote imagery using deep learning	61
Leaf image based plant disease identification using transfer learning and feature fusion	61
Deep neural network based date palm tree detection in drone imagery	60
Cotton pests classification in field-based images using deep residual networks	60
Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images	59
Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics	58
Using an EfficientNet-LSTM for the recognition of single Cow’s motion behaviours in a complicated environment	58
YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems	58
A novel deep learning based approach for seed image classification and retrieval	58
Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales	56
Improved multi-classes kiwifruit detection in orchard to avoid collisions during robotic picking	56
Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images	56
Comparison of wavelet and empirical mode decomposition hybrid models in drought prediction	56
Accurate body measurement of live cattle using three depth cameras and non-rigid 3-D shape recovery	56
Data augmentation for automated pest classification in Mango farms	56
Using NDVI for the assessment of canopy cover in agricultural crops within modelling research	55
Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms	55
S-RPN: Sampling-balanced region proposal network for small crop pest detection	55
Geometry-aware fruit grasping estimation for robotic harvesting in apple orchards	54
Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems	54
Real-time detection of kiwifruit flower and bud simultaneously in orchard using YOLOv4 for robotic pollination	54
Detection and counting of banana bunches by integrating deep learning and classic image-processing algorithms	54
Apple, peach, and pear flower detection using semantic segmentation network and shape constraint level set	54
Classification of Lingwu long jujube internal bruise over time based on visible near-infrared hyperspectral imaging combined with partial least squares-discriminant analysis	54

Lightweight dense-scale network (LDSNet) for corn leaf disease identification	54
Digital Twins in greenhouse horticulture: A review	54
Using a depth camera for crop row detection and mapping for under-canopy navigation of agricultural robotic vehicle	53
Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet	53
Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach	53
Application of wireless sensor networks in the field of irrigation: A review	53
Navigation path extraction for greenhouse cucumber-picking robots using the prediction-point Hough transform	53
Real-time recognition system of soybean seed full-surface defects based on deep learning	53
Evaluation on risks of sustainable supply chain based on optimized BP neural networks in fresh grape industry	53
Early detection of freezing damage in oranges by online Vis/NIR transmission coupled with diameter correction method and deep 1D-CNN	53
Visual identification of individual Holstein-Friesian cattle via deep metric learning	52
Computer vision-based high-quality tea automatic plucking robot using Delta parallel manipulator	52
A nutrient recommendation system for soil fertilization based on evolutionary computation	52
Early detection of grapevine leafroll disease in a red-berried wine grape cultivar using hyperspectral imaging	52
A system for automatic rice disease detection from rice paddy images serviced via a Chatbot	52
Deep learning-based crop mapping in the cloudy season using one-shot hyperspectral satellite imagery	52
Evaluation of cotton emergence using UAV-based imagery and deep learning	51
Automatic organ-level point cloud segmentation of maize shoots by integrating high-throughput data acquisition and deep learning	51
Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic	51
A systematic literature review on deep learning applications for precision cattle farming	51
Detection of impurities in wheat using terahertz spectral imaging and convolutional neural networks	51
Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods	51
Canopy-attention-YOLOv4-based immature/mature apple fruit detection on dense-foliage tree architectures for early crop load estimation	51
Automatic recognition of dairy cow mastitis from thermal images by a deep learning detector	51
Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters	50
Real-time kiwifruit detection in orchard using deep learning on Android™ smartphones for yield estimation	50
Three-dimensional reconstruction of guava fruits and branches using instance segmentation and geometry analysis	50
A fast and accurate deep learning method for strawberry instance segmentation	50
Modified U-Net for plant diseased leaf image segmentation	49
Identification method of vegetable diseases based on transfer learning and attention mechanism	49
Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery	49
Common pests image recognition based on deep convolutional neural network	49
LDS-YOLO: A lightweight small object detection method for dead trees from shelter forest	48
Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+ network	48
Predicting the contents of soil salt and major water-soluble ions with fractional-order derivative spectral indices and variable selection	48
Crop height estimation based on UAV images: Methods, errors, and strategies	48
Complete and accurate holly fruits counting using YOLOX object detection	47
GoogLeNet based on residual network and attention mechanism identification of rice leaf diseases	47
Automatic identification of diseases in grains crops through computational approaches: A review	47
A dual attention network based on efficientNet-B2 for short-term fish school feeding behavior analysis in aquaculture	47
Automatic fish counting method using image density grading and local regression	47
Cow identification in free-stall barns based on an improved Mask R-CNN and an SVM	47
Modelling and simulation of the grain threshing process based on the discrete element method	47
Viable smart sensors and their application in data driven agriculture	46
Uncertainty analysis of artificial intelligence modeling daily reference evapotranspiration in the northwest end of China	46
Practical cucumber leaf disease recognition using improved Swin Transformer and small sample size	46
Recognition of carrot appearance quality based on deep feature and support vector machine	46
An innovative IoT based system for precision farming	46
T-CNN: Trilinear convolutional neural networks model for visual detection of plant diseases	46
Using a CNN-LSTM for basic behaviors detection of a single dairy cow in a complex environment	46
Rice nitrogen nutrition estimation with RGB images and machine learning methods	46
Recognition of feeding behaviour of pigs and determination of feeding time of each pig by a video-based deep learning method	45
Semantic segmentation for partially occluded apple trees based on deep learning	45
Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors	45
Semantic segmentation model of cotton roots in-situ image based on attention mechanism	45
Foliar deposition and coverage on young apple trees with PWM-controlled spray systems	45
A method combining FTIR-ATR and Raman spectroscopy to determine soil organic matter: Improvement of prediction accuracy using competitive adaptive reweighted sampling (CARS)	45
Automated sheep facial expression classification using deep transfer learning	45
Late fusion of multimodal deep neural networks for weeds classification	45
Improving wheat yield prediction integrating proximal sensing and weather data with machine learning	45
Improving weeds identification with a repository of agricultural pre-trained deep neural networks	45
DSE-YOLO: Detail semantics enhancement YOLO for multi-stage strawberry detection	45
Pre-season crop type mapping using deep neural networks	44
How many gigabytes per hectare are available in the digital agriculture era? A digitization footprint estimation	44
Using color and 3D geometry features to segment fruit point cloud and improve fruit recognition accuracy	44
A high-precision forest fire smoke detection approach based on ARGNet	44
Hyperspectral imaging techniques for rapid detection of nutrient content of hydroponically grown lettuce cultivars	44
Automatic behavior recognition of group-housed goats using deep learning	44
Dual-branch, efficient, channel attention-based crop disease identification	44
CattleFaceNet: A cattle face identification approach based on RetinaFace and ArcFace loss	44
In-field apple size estimation using photogrammetry-derived 3D point clouds: Comparison of 4 different methods considering fruit occlusions	44
Key technologies of machine vision for weeding robots: A review and benchmark	44
Identification of maize leaves infected by fall armyworms using UAV-based imagery and convolutional neural networks	43
Weed detection in sesame fields using a YOLO model with an enhanced attention mechanism and feature fusion	43
Applications of deep learning in precision weed management: A review	43
A lightweight dead fish detection method based on deformable convolution and YOLOV4	43
Beemon: An IoT-based beehive monitoring system	43
Transfer learning and SE-ResNet152 networks-based for small-scale unbalanced fish species identification	43
Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV)	43
Computer vision and machine learning applied in the mushroom industry: A critical review	43
Microwave vacuum drying of dragon fruit slice: Artificial neural network modelling, genetic algorithm optimization, and kinetics study	43
A deep learning approach for anthracnose infected trees classification in walnut orchards	43
Estimation of water content in corn leaves using hyperspectral data based on fractional order Savitzky-Golay derivation coupled with wavelength selection	42
Pose estimation and adaptable grasp configuration with point cloud registration and geometry understanding for fruit grasp planning	42
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer	42
Assessment of potato late blight from UAV-based multispectral imagery	42
Vision systems for harvesting robots: Produce detection and localization	42
Integration of RGB-based vegetation index, crop surface model and object-based image analysis approach for sugarcane yield estimation using unmanned aerial vehicle	42
Real-time goat face recognition using convolutional neural network	42
Research on 3D surface reconstruction and body size measurement of pigs based on multi-view RGB-D cameras	42
FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection	42
Practices for upscaling crop simulation models from field scale to large regions	42
Wheat sustainable supply chain network design with forecasted demand by simulation	42
Accurate prediction of soluble solid content in dried Hami jujube using SWIR hyperspectral imaging with comparative analysis of models	42
Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions	42