Computers and Electronics in Agriculture

(The TQCC of Computers and Electronics in Agriculture is 16. 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 2020-02-01 to 2024-02-01.)
Crop yield prediction using machine learning: A systematic literature review544
Using deep transfer learning for image-based plant disease identification447
Decision support systems for agriculture 4.0: Survey and challenges320
Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments255
Deep feature based rice leaf disease identification using support vector machine224
Tomato plant disease detection using transfer learning with C-GAN synthetic images217
Introducing digital twins to agriculture185
A survey of deep learning techniques for weed detection from images185
State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review184
Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association181
Detection and segmentation of overlapped fruits based on optimized mask R-CNN application in apple harvesting robot181
A survey on the 5G network and its impact on agriculture: Challenges and opportunities172
Few-Shot Learning approach for plant disease classification using images taken in the field168
Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges163
An optimized dense convolutional neural network model for disease recognition and classification in corn leaf161
Multi-class fruit-on-plant detection for apple in SNAP system using Faster R-CNN161
Image recognition of four rice leaf diseases based on deep learning and support vector machine155
New perspectives on plant disease characterization based on deep learning155
Deep learning for classification and severity estimation of coffee leaf biotic stress153
A review of computer vision technologies for plant phenotyping144
Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review142
Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach141
A review on plant high-throughput phenotyping traits using UAV-based sensors140
A review on monitoring and advanced control strategies for precision irrigation136
Systematic literature review of implementations of precision agriculture133
Multiclass classification of dry beans using computer vision and machine learning techniques131
A secure fish farm platform based on blockchain for agriculture data integrity127
Towards weeds identification assistance through transfer learning125
Crop pest recognition in natural scenes using convolutional neural networks123
Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network120
A survey of public datasets for computer vision tasks in precision agriculture119
Smart poultry management: Smart sensors, big data, and the internet of things118
An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease117
Do we really need deep CNN for plant diseases identification?116
CNN feature based graph convolutional network for weed and crop recognition in smart farming115
A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices111
Detection and classification of soybean pests using deep learning with UAV images107
Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence105
Fruit detection, segmentation and 3D visualisation of environments in apple orchards105
Drones in agriculture: A review and bibliometric analysis104
Few-shot cotton pest recognition and terminal realization101
Automated cattle counting using Mask R-CNN in quadcopter vision system100
Plant diseases recognition on images using convolutional neural networks: A systematic review100
Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming95
AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection94
A cucumber leaf disease severity classification method based on the fusion of DeepLabV3+ and U-Net93
Comparison of convolutional neural networks in fruit detection and counting: A comprehensive evaluation92
Multi-stream hybrid architecture based on cross-level fusion strategy for fine-grained crop species recognition in precision agriculture92
Meta-learning baselines and database for few-shot classification in agriculture92
Grape disease image classification based on lightweight convolution neural networks and channelwise attention90
SoyNet: Soybean leaf diseases classification90
Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data90
3D global mapping of large-scale unstructured orchard integrating eye-in-hand stereo vision and SLAM89
A systematic literature review on the use of machine learning in precision livestock farming88
An adaptive pig face recognition approach using Convolutional Neural Networks87
Real-time growth stage detection model for high degree of occultation using DenseNet-fused YOLOv485
Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry84
Crop pest classification with a genetic algorithm-based weighted ensemble of deep convolutional neural networks84
Deep learning based segmentation for automated training of apple trees on trellis wires83
Recognition of rice leaf diseases and wheat leaf diseases based on multi-task deep transfer learning82
Identification of tomato leaf diseases based on combination of ABCK-BWTR and B-ARNet82
Time-serial analysis of deep neural network models for prediction of climatic conditions inside a greenhouse81
Assessment for crop water stress with infrared thermal imagery in precision agriculture: A review and future prospects for deep learning applications80
Automated fruit recognition using EfficientNet and MixNet79
A visual detection method for nighttime litchi fruits and fruiting stems79
Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning79
Crop leaf disease recognition based on Self-Attention convolutional neural network79
Review of the internet of things communication technologies in smart agriculture and challenges78
Wireless technologies for smart agricultural monitoring using internet of things devices with energy harvesting capabilities77
Agricultural robotics research applicable to poultry production: A review77
An overview of agriculture 4.0 development: Systematic review of descriptions, technologies, barriers, advantages, and disadvantages76
A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images76
Disease detection in tomato leaves via CNN with lightweight architectures implemented in Raspberry Pi 475
Sequential forward selection and support vector regression in comparison to LASSO regression for spring wheat yield prediction based on UAV imagery75
Three-dimensional perception of orchard banana central stock enhanced by adaptive multi-vision technology75
Multi-step ahead forecasting of daily reference evapotranspiration using deep learning75
Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia75
A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping73
An attribution-based pruning method for real-time mango detection with YOLO network72
Terahertz spectroscopy and imaging: A review on agricultural applications72
Identification of cash crop diseases using automatic image segmentation algorithm and deep learning with expanded dataset72
RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification71
Classification of rice varieties with deep learning methods70
Automatically detecting pig position and posture by 2D camera imaging and deep learning70
Collision-free path planning for a guava-harvesting robot based on recurrent deep reinforcement learning69
An automatic method for weed mapping in oat fields based on UAV imagery69
Multi-class object detection using faster R-CNN and estimation of shaking locations for automated shake-and-catch apple harvesting69
Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition68
Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data66
Lightweight convolutional neural network model for field wheat ear disease identification66
Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle66
Real-time detection and tracking of fish abnormal behavior based on improved YOLOV5 and SiamRPN++66
Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems66
Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration65
Detecting soybean leaf disease from synthetic image using multi-feature fusion faster R-CNN65
Computer vision system for measuring individual cow feed intake using RGB-D camera and deep learning algorithms65
Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory65
Strengthening consumer trust in beef supply chain traceability with a blockchain-based human-machine reconcile mechanism65
Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease64
Tomato leaf segmentation algorithms for mobile phone applications using deep learning64
Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation64
Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review64
Citrus pests classification using an ensemble of deep learning models63
A new visible band index (vNDVI) for estimating NDVI values on RGB images utilizing genetic algorithms63
An end-to-end model for rice yield prediction using deep learning fusion63
Detection and classification of tea buds based on deep learning63
Automatic cucumber recognition algorithm for harvesting robots in the natural environment using deep learning and multi-feature fusion62
A deep learning approach for RGB image-based powdery mildew disease detection on strawberry leaves62
Applications of IoT for optimized greenhouse environment and resources management62
MEAN-SSD: A novel real-time detector for apple leaf diseases using improved light-weight convolutional neural networks62
Close-range hyperspectral imaging of whole plants for digital phenotyping: Recent applications and illumination correction approaches62
Graph weeds net: A graph-based deep learning method for weed recognition62
EfficientNet-B4-Ranger: A novel method for greenhouse cucumber disease recognition under natural complex environment62
Pose estimation and behavior classification of broiler chickens based on deep neural networks62
Internet of things for smart farming and frost intelligent control in greenhouses62
A high-precision detection method of hydroponic lettuce seedlings status based on improved Faster RCNN61
RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism61
Technology progress in mechanical harvest of fresh market apples60
Behaviour classification of extensively grazed sheep using machine learning60
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, China60
UAV environmental perception and autonomous obstacle avoidance: A deep learning and depth camera combined solution60
Comparison of machine learning methods for citrus greening detection on UAV multispectral images59
A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings59
High-resolution satellite imagery applications in crop phenotyping: An overview59
Rachis detection and three-dimensional localization of cut off point for vision-based banana robot59
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages59
Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes59
Estimation of corn yield based on hyperspectral imagery and convolutional neural network58
Effect of operational parameters of UAV sprayer on spray deposition pattern in target and off-target zones during outer field weed control application58
Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery58
A detection and severity estimation system for generic diseases of tomato greenhouse plants58
A modified U-Net with a specific data argumentation method for semantic segmentation of weed images in the field57
Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking57
A DNN-based semantic segmentation for detecting weed and crop57
Classification of soybean leaf wilting due to drought stress using UAV-based imagery57
Experimental evaluation of UAV spraying for peach trees of different shapes: Effects of operational parameters on droplet distribution57
Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information57
Optimal smart contract for autonomous greenhouse environment based on IoT blockchain network in agriculture57
Wild blueberry yield prediction using a combination of computer simulation and machine learning algorithms56
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, China56
Pest24: A large-scale very small object data set of agricultural pests for multi-target detection56
Hyperspectral imaging and 3D technologies for plant phenotyping: From satellite to close-range sensing56
Field detection of tiny pests from sticky trap images using deep learning in agricultural greenhouse56
Robust index-based semantic plant/background segmentation for RGB- images56
Cost-effective IoT devices as trustworthy data sources for a blockchain-based water management system in precision agriculture55
Real-time defects detection for apple sorting using NIR cameras with pruning-based YOLOV4 network55
Pre-harvest classification of crop types using a Sentinel-2 time-series and machine learning55
Disease and pest infection detection in coconut tree through deep learning techniques55
Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes55
Applications of machine vision in agricultural robot navigation: A review55
Real-time strawberry detection using deep neural networks on embedded system (rtsd-net): An edge AI application54
Comparison of wavelet and empirical mode decomposition hybrid models in drought prediction54
Corn cash price forecasting with neural networks54
Fast and accurate green pepper detection in complex backgrounds via an improved Yolov4-tiny model54
Peach variety detection using VIS-NIR spectroscopy and deep learning54
Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods54
Modeling yield response to crop management using convolutional neural networks53
Identifying sunflower lodging based on image fusion and deep semantic segmentation with UAV remote sensing imaging53
CFD simulation and experimental verification of the spatial and temporal distributions of the downwash airflow of a quad-rotor agricultural UAV in hover52
Using an EfficientNet-LSTM for the recognition of single Cow’s motion behaviours in a complicated environment52
Stereo-vision-based crop height estimation for agricultural robots52
Improved multi-classes kiwifruit detection in orchard to avoid collisions during robotic picking52
Analysis of the spatial variations of determinants of agricultural production efficiency in China52
Fruit detection and load estimation of an orange orchard using the YOLO models through simple approaches in different imaging and illumination conditions52
Classification of Lingwu long jujube internal bruise over time based on visible near-infrared hyperspectral imaging combined with partial least squares-discriminant analysis51
A novel deep learning based approach for seed image classification and retrieval51
Extracting apple tree crown information from remote imagery using deep learning51
Development of a methodological framework for a robust prediction of the main behaviours of dairy cows using a combination of machine learning algorithms on accelerometer data51
Retinex-inspired color correction and detail preserved fusion for underwater image enhancement51
Deep diagnosis: A real-time apple leaf disease detection system based on deep learning51
Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat51
Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms50
Cotton pests classification in field-based images using deep residual networks50
Deep neural network based date palm tree detection in drone imagery50
Real-time robust detector for underwater live crabs based on deep learning50
A computer vision approach based on deep learning for the detection of dairy cows in free stall barn50
A novel green apple segmentation algorithm based on ensemble U-Net under complex orchard environment50
Navigation path extraction for greenhouse cucumber-picking robots using the prediction-point Hough transform49
Evaluation of low-cost depth cameras for agricultural applications49
A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems49
Fusion of Mask RCNN and attention mechanism for instance segmentation of apples under complex background49
Early detection of grapevine leafroll disease in a red-berried wine grape cultivar using hyperspectral imaging48
Support Vector Machine in Precision Agriculture: A review48
Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images48
Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms47
Localizing plucking points of tea leaves using deep convolutional neural networks47
Sensor-based mechanical weed control: Present state and prospects47
Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV)47
Real-time detection of kiwifruit flower and bud simultaneously in orchard using YOLOv4 for robotic pollination47
A new attention-based CNN approach for crop mapping using time series Sentinel-2 images47
Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images47
Application of wireless sensor networks in the field of irrigation: A review47
Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet47
Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales47
Accurate body measurement of live cattle using three depth cameras and non-rigid 3-D shape recovery47
S-RPN: Sampling-balanced region proposal network for small crop pest detection47
Apple, peach, and pear flower detection using semantic segmentation network and shape constraint level set47
Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters46
A method for mining combined data from in-hive sensors, weather and apiary inspections to forecast the health status of honey bee colonies46
Advances in gas sensors and electronic nose technologies for agricultural cycle applications46
Using a depth camera for crop row detection and mapping for under-canopy navigation of agricultural robotic vehicle46
Three-dimensional reconstruction of guava fruits and branches using instance segmentation and geometry analysis45
Development of simple identification models for four main catechins and caffeine in fresh green tea leaf based on visible and near-infrared spectroscopy45
Hyperspectral remote sensing for assessment of chlorophyll sufficiency levels in mature oil palm (Elaeis guineensis) based on frond numbers: Analysis of decision tree and random forest45
Computer vision-based high-quality tea automatic plucking robot using Delta parallel manipulator45
Leaf image based plant disease identification using transfer learning and feature fusion45
Using NDVI for the assessment of canopy cover in agricultural crops within modelling research44
Real-time recognition system of soybean seed full-surface defects based on deep learning44
Evaluation of cotton emergence using UAV-based imagery and deep learning44
Evaluating photosynthetic pigment contents of maize using UVE-PLS based on continuous wavelet transform44
A novel apple fruit detection and counting methodology based on deep learning and trunk tracking in modern orchard44
An IPSO-BP neural network for estimating wheat yield using two remotely sensed variables in the Guanzhong Plain, PR China44
Novel soil environment monitoring system based on RFID sensor and LoRa44
IoT-based adaptive network mechanism for reliable smart farm system44
Improving estimation of LAI dynamic by fusion of morphological and vegetation indices based on UAV imagery43
Evaluation on risks of sustainable supply chain based on optimized BP neural networks in fresh grape industry43
Canopy-attention-YOLOv4-based immature/mature apple fruit detection on dense-foliage tree architectures for early crop load estimation43
Foliar deposition and coverage on young apple trees with PWM-controlled spray systems43
Data augmentation for automated pest classification in Mango farms43
Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics42
Common pests image recognition based on deep convolutional neural network42
Real-time kiwifruit detection in orchard using deep learning on Android™ smartphones for yield estimation42
Automatic identification of diseases in grains crops through computational approaches: A review42
Recognition of carrot appearance quality based on deep feature and support vector machine42
Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+ network42
Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach42
Estimation for fish mass using image analysis and neural network42
A systematic literature review on deep learning applications for precision cattle farming41
A system for automatic rice disease detection from rice paddy images serviced via a Chatbot41
Predicting the contents of soil salt and major water-soluble ions with fractional-order derivative spectral indices and variable selection41
Pre-season crop type mapping using deep neural networks41
Uncertainty analysis of artificial intelligence modeling daily reference evapotranspiration in the northwest end of China41
Using color and 3D geometry features to segment fruit point cloud and improve fruit recognition accuracy41
Geometry-aware fruit grasping estimation for robotic harvesting in apple orchards41
Detection of impurities in wheat using terahertz spectral imaging and convolutional neural networks41
Pan evaporation estimation and derivation of explicit optimized equations by novel hybrid meta-heuristic ANN based methods in different climates of Iran40
Lightweight dense-scale network (LDSNet) for corn leaf disease identification40
Transfer learning and SE-ResNet152 networks-based for small-scale unbalanced fish species identification40
A possible fractional order derivative and optimized spectral indices for assessing total nitrogen content in cotton40
Cow identification in free-stall barns based on an improved Mask R-CNN and an SVM40
Identification of maize leaves infected by fall armyworms using UAV-based imagery and convolutional neural networks40
Automated sheep facial expression classification using deep transfer learning40
Rice nitrogen nutrition estimation with RGB images and machine learning methods40
Late fusion of multimodal deep neural networks for weeds classification40
Recognition of feeding behaviour of pigs and determination of feeding time of each pig by a video-based deep learning method40
Improving weeds identification with a repository of agricultural pre-trained deep neural networks40
Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery40
Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems40
Digital Twins in greenhouse horticulture: A review40
Hyperspectral imaging techniques for rapid detection of nutrient content of hydroponically grown lettuce cultivars39