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AI-enabled droplet detection and tracking for agricultural spraying systems

https://doi.org/10.1016/j.compag.2022.107325
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/nav.3800020109openalex-snapshot
The Hungarian method for the assignment problem
inferredcites →https://doi.org/10.1002/ps.4913openalex-snapshot
Spray droplet size and carrier volume effect on dicamba and glufosinate efficacy
inferredcites →https://doi.org/10.1007/978-3-319-41501-7_47openalex-snapshot
Single Droplet Tracking in Jet Flow
inferredcites →https://doi.org/10.1007/s11263-013-0620-5openalex-snapshot
Selective Search for Object Recognition
inferredcites →https://doi.org/10.1007/s11416-018-0324-zopenalex-snapshot
Analysis of ResNet and GoogleNet models for malware detection
inferredcites →https://doi.org/10.1016/0030-3992(95)93752-dopenalex-snapshot
Detection of objects on the image using a sliding window mode
inferredcites →https://doi.org/10.1016/j.addma.2020.101197openalex-snapshot
Unsupervised learning for the droplet evolution prediction and process dynamics understanding in inkjet printing
inferredcites →https://doi.org/10.1016/j.biosystemseng.2017.08.001openalex-snapshot
Investigation on optimal spray properties for ground based agricultural applications using deposition and retention models
inferredcites →https://doi.org/10.1016/j.biosystemseng.2018.11.004openalex-snapshot
Droplet size and nozzle tip pressure from a pulse-width modulation sprayer
inferredcites →https://doi.org/10.1016/j.bushor.2019.11.006openalex-snapshot
Deepfakes: Trick or treat?
inferredcites →https://doi.org/10.1016/j.cropro.2016.07.016openalex-snapshot
Measurements of reference ISO nozzles by high-speed imaging
inferredcites →https://doi.org/10.1016/j.cropro.2017.05.003openalex-snapshot
Spray droplet impaction outcomes for different plant species and spray formulations
inferredcites →https://doi.org/10.1016/j.measurement.2019.01.072openalex-snapshot
Intelligent fault detection of high voltage line based on the Faster R-CNN
inferredcites →https://doi.org/10.1016/j.promfg.2021.06.045openalex-snapshot
In-situ Droplet Monitoring of Inkjet 3D Printing Process using Image Analysis and Machine Learning Models
inferredcites →https://doi.org/10.1021/acsami.1c22048openalex-snapshot
Deep-Learning-Based Microfluidic Droplet Classification for Multijet Monitoring
inferredcites →https://doi.org/10.1038/s41598-020-59108-xopenalex-snapshot
Disease Classification in Eggplant Using Pre-trained VGG16 and MSVM
inferredcites →https://doi.org/10.1039/c3lc50074hopenalex-snapshot
Droplet morphometry and velocimetry (DMV): a video processing software for time-resolved, label-free tracking of droplet parameters
inferredcites →https://doi.org/10.1063/5.0018667openalex-snapshot
Drop size measurement techniques for sprays: Comparison of image analysis, phase Doppler particle analysis, and laser diffraction
inferredcites →https://doi.org/10.1088/1742-6596/1634/1/012110openalex-snapshot
Image classification based on RESNET
inferredcites →https://doi.org/10.1109/4.996openalex-snapshot
Design of an image edge detection filter using the Sobel operator
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/access.2018.2877890openalex-snapshot
Benchmark Analysis of Representative Deep Neural Network Architectures
inferredcites →https://doi.org/10.1109/access.2019.2962513openalex-snapshot
Improved Kiwifruit Detection Using Pre-Trained VGG16 With RGB and NIR Information Fusion
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr14067.2009openalex-snapshot
2009 IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/iccsp33099.2014openalex-snapshot
2014 International Conference on Communication and Signal Processing
inferredcites →https://doi.org/10.1109/icinis19096.2011openalex-snapshot
2011 4th International Conference on Intelligent Networks and Intelligent Systems
inferredcites →https://doi.org/10.1109/lra.2021.3067281openalex-snapshot
Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching
inferredcites →https://doi.org/10.1109/lsp.2018.2810121openalex-snapshot
Deep Coupled ResNet for Low-Resolution Face Recognition
inferredcites →https://doi.org/10.1109/taes.1979.308710openalex-snapshot
A Kalman Filter Based Tracking Scheme with Input Estimation
inferredcites →https://doi.org/10.1117/12.7973341openalex-snapshot
Phase/Doppler Spray Analyzer For Simultaneous Measurements Of Drop Size And Velocity Distributions
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3094243openalex-snapshot
Proceedings of the 2017 International Conference on Deep Learning Technologies
inferredcites →https://doi.org/10.1186/s40537-014-0007-7openalex-snapshot
Deep learning applications and challenges in big data analytics
inferredcites →https://doi.org/10.13031/2013.34621openalex-snapshot
Measurement of Airborne Spray with a Laser Doppler Velocimeter
inferredcites →https://doi.org/10.33440/j.ijpaa.20180101.0005openalex-snapshot
Using laser diffraction to measure agricultural sprays: Common sources of error when making measurements
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1712.04621openalex-snapshot
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
inferredcites →https://doi.org/10.5120/15530-4315openalex-snapshot
Kalman Filter Tracking
inferredcites →https://doi.org/10.5626/jcse.2019.13.3.124openalex-snapshot
Fish Species Recognition Using VGG16 Deep Convolutional Neural Network

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4681684openalex-extracted
An Image Processing Based Approach to Assess the Quality of Pesticide Spray
inferred← citeshttps://doi.org/10.1007/s10846-026-02396-8openalex-snapshot
Perception and Control for Precision Spraying and Mowing in Woody Crops – Systematic Review
inferred← citeshttps://doi.org/10.1016/b978-0-443-27465-7.00007-8openalex-snapshot
AI-powered precision horticulture: Integrating machine learning and unmanned vehicles for crop management
inferred← citeshttps://doi.org/10.1016/j.aiia.2025.04.007openalex-snapshot
Mapping of soil sampling sites using terrain and hydrological attributes
inferred← citeshttps://doi.org/10.1016/j.atech.2024.100460openalex-snapshot
An image segmentation of adhesive droplets based approach to assess the quality of pesticide spray
inferred← citeshttps://doi.org/10.1016/j.atech.2024.100483openalex-snapshot
Enhancing precision agriculture: A comprehensive review of machine learning and AI vision applications in all-terrain vehicle for farm automation
inferred← citeshttps://doi.org/10.1016/j.atech.2025.101450openalex-snapshot
Reinforcement learning-driven small droplet detection for precision agricultural spraying
inferred← citeshttps://doi.org/10.1016/j.compag.2023.108199openalex-snapshot
Cyberinformatics tool for in-season crop-specific land cover monitoring: Design, implementation, and applications of iCrop
inferred← citeshttps://doi.org/10.1016/j.compag.2024.108632openalex-snapshot
A novel optical shadow edge imaging method based fast in-situ measuring portable device for droplet deposition
inferred← citeshttps://doi.org/10.1016/j.compag.2024.108650openalex-snapshot
Deep-learning framework for optimal selection of soil sampling sites
inferred← citeshttps://doi.org/10.1016/j.compag.2024.108757openalex-snapshot
Object detection and tracking in Precision Farming: a systematic review
inferred← citeshttps://doi.org/10.1016/j.compag.2025.109922openalex-snapshot
Enhanced droplet analysis using generative adversarial networks
inferred← citeshttps://doi.org/10.1016/j.compag.2025.110353openalex-snapshot
Detection and tracking of agricultural spray droplets using GSConv-enhanced YOLOv5s and DeepSORT
inferred← citeshttps://doi.org/10.1016/j.compag.2026.111763openalex-snapshot
Precision droplet deposition control in helicopter spraying: a novel valve-switch timing method accounting for headwind effects
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110401openalex-snapshot
Systematic review on machine learning and computer vision in precision agriculture: Applications, trends, and emerging techniques
inferred← citeshttps://doi.org/10.1016/j.ijheatmasstransfer.2023.125060openalex-snapshot
Bubble dynamics and their effects on interfacial heat transfer in one single microchannel
inferred← citeshttps://doi.org/10.1016/j.ijmecsci.2023.108214openalex-snapshot
Artificial neural network in prediction of mixed-mode I/II fracture load
inferred← citeshttps://doi.org/10.1016/j.optlaseng.2026.110002openalex-snapshot
Advances in the particle/droplet image analysis (PDIA) methodology for quantitative droplet size distribution measurement
inferred← citeshttps://doi.org/10.1016/j.surfin.2024.104602openalex-snapshot
Experiment study on adhesion dynamic characteristics of droplet impacting on an inclined heated surface
inferred← citeshttps://doi.org/10.1038/s41598-023-34320-7openalex-snapshot
A deep-learning framework for spray pattern segmentation and estimation in agricultural spraying systems
inferred← citeshttps://doi.org/10.1109/access.2024.3473538openalex-snapshot
STPAS: Spatial-Temporal Filtering-Based Perception and Analysis System for Precision Aerial Spraying
inferred← citeshttps://doi.org/10.1109/icoco59262.2023.10398036openalex-snapshot
Application of Computer Vision Techniques to Identify Spray Primary Breakup Structures in High-Speed Flow
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3921706/v1openalex-snapshot
Deep-Learning Methods for Efficient Real-Time Droplet Tracking in Crop-Spraying Systems
inferred← citeshttps://doi.org/10.2139/ssrn.4836392openalex-snapshot
Systematic Review on Machine Learning and Computer Vision Methodology for Precision Agriculture Applications
inferred← citeshttps://doi.org/10.21926/rpm.2504016openalex-snapshot
Deep Learning Approaches for Predicting Strain Energy in Heterogeneous Materials
inferred← citeshttps://doi.org/10.23796/lj/2024.014openalex-snapshot
An overview on ICT developments in the Agri-food sector: a report from ERA-Net Cofund on ICT-enabled Agri-Food Systems funded projects seminar 2024
inferred← citeshttps://doi.org/10.3389/fpls.2023.1228590openalex-snapshot
Farmland boundary extraction based on the AttMobile-DeeplabV3+ network and least squares fitting of straight lines
inferred← citeshttps://doi.org/10.3389/fpls.2025.1641677openalex-snapshot
A precision grading method for walnut leaf brown spot disease integrating hierarchical feature selection and dynamic multi-scale convolution
inferred← citeshttps://doi.org/10.3390/agriculture14101735openalex-snapshot
Efficient Real-Time Droplet Tracking in Crop-Spraying Systems
inferred← citeshttps://doi.org/10.3390/agronomy13122908openalex-snapshot
Mechanical Analysis of Rice Canopy Using Explicit Dynamics and Practical Applications of Canopy Opener
inferred← citeshttps://doi.org/10.3390/agronomy15092147openalex-snapshot
Image and Point Cloud-Based Neural Network Models and Applications in Agricultural Nursery Plant Protection Tasks
inferred← citeshttps://doi.org/10.3390/agronomy16010123openalex-snapshot
Visualization Techniques for Spray Monitoring in Unmanned Aerial Spraying Systems: A Review
inferred← citeshttps://doi.org/10.3390/app16125848openalex-snapshot
Advances and Applications of Agricultural Spray Deposition Detection Technologies
inferred← citeshttps://doi.org/10.3390/make6010014openalex-snapshot
Real-Time Droplet Detection for Agricultural Spraying Systems: A Deep Learning Approach
inferred← citeshttps://doi.org/10.3390/make6020035openalex-snapshot
Soil Sampling Map Optimization with a Dual Deep Learning Framework
inferred← citeshttps://doi.org/10.3390/s26175403openalex-snapshot
Intelligent Perception, Decision-Making and Actuation Technologies for Precision Agrochemical Spraying: Current Advances and Future Perspectives
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