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Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network

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

inferredcites →https://doi.org/10.1007/978-3-540-31865-1_25openalex-snapshot
A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation
inferredcites →https://doi.org/10.1007/s12562-009-0162-5openalex-snapshot
Automated acoustic method for counting and sizing farmed fish during transfer using DIDSON
inferredcites →https://doi.org/10.1016/0144-8609(91)90024-eopenalex-snapshot
Hydroacoustic detection of food waste — A method to estimate maximum food intake of fish populations in sea cages
inferredcites →https://doi.org/10.1016/0144-8609(94)00006-mopenalex-snapshot
Detection and counting of uneaten food pellets in a sea cage using image analysis
inferredcites →https://doi.org/10.1016/j.aquaculture.2016.06.045openalex-snapshot
Modelling growth performance and feeding behaviour of Atlantic salmon (Salmo salar L.) in commercial-size aquaculture net pens: Model details and validation through full-scale experiments
inferredcites →https://doi.org/10.1016/j.aquaculture.2019.03.072openalex-snapshot
Growth performance, physiological response and histology changes of juvenile blunt snout bream, Megalobrama amblycephala exposed to chronic ammonia
inferredcites →https://doi.org/10.1016/j.aquaculture.2020.734942openalex-snapshot
Effects of antioxidant supplementation (nano‑selenium, vitamin C and E) on growth performance, blood biochemistry, immune status and body composition of rainbow trout (Oncorhynchus mykiss) under sub-lethal ammonia exposure
inferredcites →https://doi.org/10.1016/j.aquaeng.2014.03.005openalex-snapshot
Measuring feeding activity of fish in RAS using computer vision
inferredcites →https://doi.org/10.1016/j.aquaeng.2015.02.001openalex-snapshot
Development of an adaptive neural-based fuzzy inference system for feeding decision-making assessment in silver perch (Bidyanus bidyanus) culture
inferredcites →https://doi.org/10.1016/j.aquaeng.2016.10.008openalex-snapshot
Detection and target strength measurements of uneaten feed pellets with a single beam echosounder
inferredcites →https://doi.org/10.1016/j.aquaeng.2017.05.001openalex-snapshot
Detection of uneaten fish food pellets in underwater images for aquaculture
inferredcites →https://doi.org/10.1016/j.aquaeng.2019.102000openalex-snapshot
Integration of sonar and optical camera images using deep neural network for fish monitoring
inferredcites →https://doi.org/10.1016/j.aquaeng.2020.102117openalex-snapshot
A modified YOLOv3 model for fish detection based on MobileNetv1 as backbone
inferredcites →https://doi.org/10.1016/j.compag.2011.02.003openalex-snapshot
Development of two telemetry-based systems for monitoring the feeding behaviour of Atlantic salmon (Salmo salar L.) in aquaculture sea-cages
inferredcites →https://doi.org/10.1016/j.compag.2019.01.012openalex-snapshot
Apple detection during different growth stages in orchards using the improved YOLO-V3 model
inferredcites →https://doi.org/10.1016/j.compag.2019.105075openalex-snapshot
Visual features based automated identification of fish species using deep convolutional neural networks
inferredcites →https://doi.org/10.1016/j.compag.2019.105087openalex-snapshot
A spatio-temporal recurrent network for salmon feeding action recognition from underwater videos in aquaculture
inferredcites →https://doi.org/10.1016/j.compag.2019.105119openalex-snapshot
Intelligent monitoring and control technologies of open sea cage culture: A review
inferredcites →https://doi.org/10.1016/j.compag.2020.105214openalex-snapshot
An attribution-based pruning method for real-time mango detection with YOLO network
inferredcites →https://doi.org/10.1016/j.compag.2020.105274openalex-snapshot
Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia
inferredcites →https://doi.org/10.1016/j.ecoinf.2019.05.004openalex-snapshot
Cascaded deep network systems with linked ensemble components for underwater fish detection in the wild
inferredcites →https://doi.org/10.1016/j.foodchem.2012.06.100openalex-snapshot
Fish protein hydrolysates: Proximate composition, amino acid composition, antioxidant activities and applications: A review
inferredcites →https://doi.org/10.1016/j.inpa.2019.09.001openalex-snapshot
Feed intake prediction model for group fish using the MEA-BP neural network in intensive aquaculture
inferredcites →https://doi.org/10.1023/b:vlsi.0000028532.53893.82openalex-snapshot
Realization of the Contrast Limited Adaptive Histogram Equalization (CLAHE) for Real-Time Image Enhancement
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1109/access.2020.2974759openalex-snapshot
Image Super-Resolution Reconstruction Using Generative Adversarial Networks Based on Wide-Channel Activation
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/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot
Feature Pyramid Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot
YOLO9000: Better, Faster, Stronger
inferredcites →https://doi.org/10.1109/cvpr.2018.00913openalex-snapshot
Path Aggregation Network for Instance Segmentation
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00203openalex-snapshot
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
inferredcites →https://doi.org/10.1109/iccv.2019.00612openalex-snapshot
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
inferredcites →https://doi.org/10.1109/lsp.2014.2385794openalex-snapshot
Automatic Feeding Control for Dense Aquaculture Fish Tanks
inferredcites →https://doi.org/10.1109/tip.2011.2179666openalex-snapshot
Underwater Image Enhancement by Wavelength Compensation and Dehazing
inferredcites →https://doi.org/10.1109/tip.2016.2612882openalex-snapshot
Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior
inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1111/raq.12202openalex-snapshot
Improving feed efficiency in fish using selective breeding: a review
inferredcites →https://doi.org/10.1111/raq.12218openalex-snapshot
Intelligent feeding control methods in aquaculture with an emphasis on fish: a review
inferredcites →https://doi.org/10.1111/raq.12464openalex-snapshot
Deep learning for smart fish farming: applications, opportunities and challenges
inferredcites →https://doi.org/10.1609/aaai.v34i07.6999openalex-snapshot
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
inferredcites →https://doi.org/10.3390/ani10020364openalex-snapshot
Automatic Fish Population Counting by Machine Vision and a Hybrid Deep Neural Network Model

What points at this work

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

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Nondestructive perch target detection and size measurement from RGB-D images in recirculating aquaculture system
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A latest progress in the study of fish behavior: cross-generational effects of behavior under pollution pressure and new technologies for behavior monitoring
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Underwater object detection and datasets: a survey
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AI-driven aquaculture: A review of technological innovations and their sustainable impacts
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Overwintering temperature affects the nutrient composition and non-volatile flavor substances of female adult mud crab Scylla paramamosain in recirculating aquaculture systems (RASs)
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YOLO-feed: An advanced lightweight network enabling real-time, high-precision detection of feed pellets on CPU devices and its applications in quantifying individual fish feed intake
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Research on real-time detection method of fish parasites based on the improved YOLO11n
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inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.101971openalex-snapshot
Self-attention and long-range relationship capture network for underwater object detection
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2025.123445openalex-snapshot
Design of an integrated guidance & navigation planner (i-GNP) for image processing-assisted motion planning of an autonomous underwater vehicle
inferred← citeshttps://doi.org/10.1016/j.optlastec.2024.110549openalex-snapshot
Deep learning-driven underwater polarimetric target detection based on the dispersion of polarization characteristics
inferred← citeshttps://doi.org/10.1016/j.patcog.2022.108870openalex-snapshot
Data-attention-YOLO (DAY): A comprehensive framework for mesoscale eddy identification
inferred← citeshttps://doi.org/10.1016/j.powtec.2022.117655openalex-snapshot
The study of coal gangue segmentation for location and shape predicts based on multispectral and improved Mask R-CNN
inferred← citeshttps://doi.org/10.1016/j.powtec.2025.122097openalex-snapshot
Recognition of satellite particle based on SP-YOLO model
inferred← citeshttps://doi.org/10.1016/j.robot.2025.105074openalex-snapshot
Analysis of vision-based Air-to-Air UAV detection using YOLO based architectures
inferred← citeshttps://doi.org/10.1016/j.visinf.2023.05.004openalex-snapshot
CARVING-DETC: A network scaling and NMS ensemble for Balinese carving motif detection method
inferred← citeshttps://doi.org/10.1016/j.watbs.2024.100332openalex-snapshot
A computer vision and RFID fusion-based method for measuring individual feed intake and its application for detecting individual differences in feed efficiency of large yellow croaker (Larimichthys crocea)
inferred← citeshttps://doi.org/10.1038/s41598-022-19932-9openalex-snapshot
An affordable and easy-to-use tool for automatic fish length and weight estimation in mariculture
inferred← citeshttps://doi.org/10.1038/s41598-023-38085-xopenalex-snapshot
Aluminum surface defect detection method based on a lightweight YOLOv4 network
inferred← citeshttps://doi.org/10.1038/s41598-025-19653-9openalex-snapshot
Research on non-tobacco related materials recognition method based on YOLOv8
inferred← citeshttps://doi.org/10.1038/s41598-025-23032-9openalex-snapshot
Enhanced YOLO-based framework for accurate detection and identification of common wheat impurities with distinct objects
inferred← citeshttps://doi.org/10.1038/s41598-025-89611-yopenalex-snapshot
AquaYOLO: Advanced YOLO-based fish detection for optimized aquaculture pond monitoring
inferred← citeshttps://doi.org/10.1049/2024/4415342openalex-snapshot
A Configurable Accelerator for CNN‐Based Remote Sensing Object Detection on FPGAs
inferred← citeshttps://doi.org/10.1049/ipr2.12602openalex-snapshot
A method of underwater bridge structure damage detection method based on a lightweight deep convolutional network
inferred← citeshttps://doi.org/10.1049/itr2.70276openalex-snapshot
Recursive Signal Amplification and Multi‐Dimensional Feature Rectification for Maritime Small Object Perception
inferred← citeshttps://doi.org/10.1051/matecconf/202235502054openalex-snapshot
A package auto-counting model based on tailored YOLO and DeepSort techniques
inferred← citeshttps://doi.org/10.1063/5.0202721openalex-snapshot
Optimization of intelligent guided vehicle vision navigation based on improved YOLOv2
inferred← citeshttps://doi.org/10.1080/01431161.2022.2085069openalex-snapshot
Sensitivity examination of YOLOv4 regarding test image distortion and training dataset attribute for apple flower bud classification
inferred← citeshttps://doi.org/10.1080/08839514.2022.2146853openalex-snapshot
Deep Learning Approach For Objects Detection in Underwater Pipeline Images
inferred← citeshttps://doi.org/10.1080/14680629.2024.2412105openalex-snapshot
A classification model of road accumulated snow severity based on the fusion of DeepLabV3 + and U-Net
inferred← citeshttps://doi.org/10.1080/21642583.2022.2082579openalex-snapshot
An underwater target recognition method based on improved YOLOv4 in complex marine environment
inferred← citeshttps://doi.org/10.1088/1361-6501/ac85d1openalex-snapshot
MSANet: efficient detection of tire defects in radiographic images
inferred← citeshttps://doi.org/10.1088/1742-6596/2123/1/012036openalex-snapshot
Research on Melon Fruit Selection Based on Rank with YOLOv4 Algorithm
inferred← citeshttps://doi.org/10.1088/2631-8695/ae6997openalex-snapshot
UFPN-YOLO: an enhanced lightweight object detector with underwater feature pyramid network
inferred← citeshttps://doi.org/10.1109/access.2022.3208350openalex-snapshot
Dental-YOLO: Alveolar Bone and Mandibular Canal Detection on Cone Beam Computed Tomography Images for Dental Implant Planning
inferred← citeshttps://doi.org/10.1109/access.2022.3226886openalex-snapshot
Real-Time Detection Algorithm of Marine Organisms Based on Improved YOLOv4-Tiny
inferred← citeshttps://doi.org/10.1109/access.2025.3577239openalex-snapshot
A Comprehensive Study On Underwater Object Detection Using Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2025.3584313openalex-snapshot
Research on Underwater Target Detection Technology Based on SMV-YOLOv11n
inferred← citeshttps://doi.org/10.1109/cisp-bmei60920.2023.10373254openalex-snapshot
Fish tracking based on YOLO and ByteTrack
inferred← citeshttps://doi.org/10.1109/cisr70722.2026.11680234openalex-snapshot
Design and Performance Analysis of a Trimaran Unmanned Surface Feeding Robot for High-Level Pond Aquaculture
inferred← citeshttps://doi.org/10.1109/comnet68251.2025.11325391openalex-snapshot
A new proposal architecture for fish feed waste detection in an aquaculture cage
inferred← citeshttps://doi.org/10.1109/icaicst53116.2021.9497822openalex-snapshot
Yolov4-tiny and Spatial Pyramid Pooling for Detecting Head and Tail of Fish
inferred← citeshttps://doi.org/10.1109/iccosite57641.2023.10127674openalex-snapshot
Fault Detection of Oil Palm Harvesting Using Yolo V4
inferred← citeshttps://doi.org/10.1109/iccpct58313.2023.10245055openalex-snapshot
Transmission Binary Mapping Algorithm with Deep Learning for Underwater Scene Restoration
inferred← citeshttps://doi.org/10.1109/iccr55715.2022.10053896openalex-snapshot
Vision Technology in Underwater: Applications, Challenges and Perspectives
inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11291863openalex-snapshot
Design of an IoT-Based Tuna Detection Prototype Using Ultrasonic-Triggered Underwater Imaging
inferred← citeshttps://doi.org/10.1109/icdici62993.2024.10810805openalex-snapshot
Optimizing Real-Time Object Detection Neural Networks for Dead Fish Detection in Aquaculture Systems
inferred← citeshttps://doi.org/10.1109/ice3is66769.2025.11280913openalex-snapshot
Artificial Intelligence-Based Decision Support System for White Feces Disease Management in Shrimp Aquaculture
inferred← citeshttps://doi.org/10.1109/iceei59426.2023.10346722openalex-snapshot
A Novel Multi-Modal Deep Learning Method for Fish's Appetite Detection
inferred← citeshttps://doi.org/10.1109/icepe63236.2024.10668883openalex-snapshot
Underwater Pipeline Detection using Deep Learning Techniques
inferred← citeshttps://doi.org/10.1109/icma57826.2023.10216000openalex-snapshot
Contextual and Lightweight Network for Underwater Object Detection with Self-Attention Mechanism
inferred← citeshttps://doi.org/10.1109/icoco67189.2025.11334123openalex-snapshot
Vision-Based Granular Detection of Aquaculture Feed Pellets: A Systematic Review
inferred← citeshttps://doi.org/10.1109/icoeit63558.2025.11211761openalex-snapshot
Enhancing Deep Learning for Image Processing and Computer Vision with Fuzzy Logic for Improved Accuracy
inferred← citeshttps://doi.org/10.1109/icscss60660.2024.10625362openalex-snapshot
Advancing Underwater Trash Detection: Harnessing Mask R-CNN, YOLOv8, EfficientDet-D0 and YOLACT
inferred← citeshttps://doi.org/10.1109/iicaiet67254.2025.11265099openalex-snapshot
A Comparative Study of Segmentation Techniques for Automated Fish Counting
inferred← citeshttps://doi.org/10.1109/isitia66279.2025.11137423openalex-snapshot
A Comparative Study of API-Based and Edge AI Weather Prediction for Automated Fish Feeding
inferred← citeshttps://doi.org/10.1109/jsen.2022.3151777openalex-snapshot
A Computer Vision-Based Intelligent Fish Feeding System Using Deep Learning Techniques for Aquaculture
inferred← citeshttps://doi.org/10.1109/jsen.2023.3272643openalex-snapshot
A New Optical Sensing Device for Real-Time Noncontact Vibration Measurement Considering Light Field Variation
inferred← citeshttps://doi.org/10.1109/jsen.2023.3340295openalex-snapshot
Design and Implementation of a Full-Time Artificial Intelligence of Things-Based Water Quality Inspection and Prediction System for Intelligent Aquaculture
inferred← citeshttps://doi.org/10.1109/jstars.2022.3181464openalex-snapshot
Lane-Level Road Network Construction Based on Street-View Images
inferred← citeshttps://doi.org/10.1109/mmsp55362.2022.9949063openalex-snapshot
Underwater Object Detection Aided by Image Reconstruction
inferred← citeshttps://doi.org/10.1109/nnice64954.2025.11064590openalex-snapshot
Fish Bait Counting Method Based on Improved Scale Aggregation Net in Near-Infrared Images
inferred← citeshttps://doi.org/10.1109/r10-htc53172.2021.9641579openalex-snapshot
Counting of Uneaten Floating Feed Pellets in Water Surface Images using ACF Detector and Sobel Edge Operator
inferred← citeshttps://doi.org/10.1109/tmm.2021.3089422openalex-snapshot
EFRNet: Efficient Feature Reconstructing Network for Real-Time Scene Parsing
inferred← citeshttps://doi.org/10.1109/tmm.2023.3287339openalex-snapshot
GCVC: Graph Convolution Vector Distribution Calibration for Fish Group Activity Recognition
inferred← citeshttps://doi.org/10.1111/are.15828openalex-snapshot
Nonintrusive and automatic quantitative analysis methods for fish behaviour in aquaculture
inferred← citeshttps://doi.org/10.1111/raq.13001openalex-snapshot
Fish Tracking, Counting, and Behaviour Analysis in Digital Aquaculture: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1115/1.4066281openalex-snapshot
Sparse Convolution-Based 6D Pose Estimation for Robotic Bin-Picking With Point Clouds
inferred← citeshttps://doi.org/10.1117/1.jei.31.3.033033openalex-snapshot
YOLOv5-R: lightweight real-time detection based on improved YOLOv5
inferred← citeshttps://doi.org/10.1117/1.jei.32.2.021611openalex-snapshot
RETRACTED: Dynamic scene images-assisted intelligent control method for industrialized feeding through deep vision learning
inferred← citeshttps://doi.org/10.1117/12.3026430openalex-snapshot
Deep learning transmission line defect recognition based on improved Yolov5
inferred← citeshttps://doi.org/10.1117/12.3061504openalex-snapshot
A semi-supervised TB detection model based on improved YOLOv5
inferred← citeshttps://doi.org/10.1142/s0218126624501019openalex-snapshot
Multi-Branch Dilation Convolution CenterNet for Object Detection of Underwater Vehicles
inferred← citeshttps://doi.org/10.1145/3578516openalex-snapshot
A Survey on Underwater Computer Vision
inferred← citeshttps://doi.org/10.1145/3591569.3591591openalex-snapshot
Combining Autoencoder and Yolov6 Model for Classification and Disease Detection in Chickens
inferred← citeshttps://doi.org/10.1155/2022/1913577openalex-snapshot
Pest Identification and Counting of Yellow Plate in Field Based on Improved Mask R‐CNN
inferred← citeshttps://doi.org/10.1155/2022/9601470openalex-snapshot
Study on the Grading Model of Hepatic Steatosis Based on Improved DenseNet
inferred← citeshttps://doi.org/10.1155/are/7715838openalex-snapshot
NanoDet Model‐Based Tracking and Inspection of Net Cage Using ROV
inferred← citeshttps://doi.org/10.1177/14750902261423406openalex-snapshot
A review of underwater object detection methods based on deep learning
inferred← citeshttps://doi.org/10.1177/14759217241301098openalex-snapshot
A multi-stage method for defect detection of underwater structures based on deep learning
inferred← citeshttps://doi.org/10.12677/csa.2026.161031openalex-snapshot
YOLO11-Swin: A Target Detection Model for Complex Underwater Environments
inferred← citeshttps://doi.org/10.12677/orf.2024.141076openalex-snapshot
Application of Lightweight Deep Learning Model in Pedestrian Detection
inferred← citeshttps://doi.org/10.1371/journal.pone.0322799openalex-snapshot
MADNet: Marine Animal Detection Network using the YOLO platform
inferred← citeshttps://doi.org/10.14464/ess.v10i7.600openalex-snapshot
Fruit Classification Based on Improved YOLOv7 Algorithm
inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150626openalex-snapshot
Multi-Sensor Fusion and YOLOv5 Model for Automated Detection of Aircraft Cabin Door
inferred← citeshttps://doi.org/10.14710/ijred.2022.41290openalex-snapshot
Combustion, Physical, and Mechanical Characterization of Composites Fuel Briquettes from Carbonized Banana Stalk and Corncob
inferred← citeshttps://doi.org/10.1590/1809-4430-eng.agric.v43n4e20230065/2023openalex-snapshot
MDP-YOLO: A LIGHTWEIGHT YOLOV5S ALGORITHM FOR MULTI-SCALE PEST DETECTION
inferred← citeshttps://doi.org/10.21037/qims-21-909openalex-snapshot
An efficient fluorescence in situ hybridization (FISH)-based circulating genetically abnormal cells (CACs) identification method based on Multi-scale MobileNet-YOLO-V4
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3199595/v1openalex-snapshot
PR-YOLO: Improved YOLO for fast protozoa classification and segmentation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9719182/v1openalex-snapshot
In-situ Volume Estimation Method for Sea Cucumbers Based on Lightweight Binocular Vision and Spatiotemporal Constraints
inferred← citeshttps://doi.org/10.2139/ssrn.5170335openalex-snapshot
Research on a Precise Feeding Method for Fry in Recirculating Aquaculture Systems
inferred← citeshttps://doi.org/10.2139/ssrn.5252643openalex-snapshot
Comparative Evaluation of Yolo and Rt-Detr Models for Real-Time Defect Detection in Wood-Based 3d Printing
inferred← citeshttps://doi.org/10.22271/j.ento.2025.v13.i4a.9532openalex-snapshot
Artificial Intelligence and image processing technologies in combating olive fly
inferred← citeshttps://doi.org/10.31577/cai_2023_1_210openalex-snapshot
MDM-YOLO: Research on Object Detection Algorithm Based on Improved YOLOv4 for Marine Organisms
inferred← citeshttps://doi.org/10.3233/faia220009openalex-snapshot
A Literature Review of Underwater Image Detection
inferred← citeshttps://doi.org/10.32604/cmc.2024.057655openalex-snapshot
Lightweight Underwater Target Detection Using YOLOv8 with Multi-Scale Cross-Channel Attention
inferred← citeshttps://doi.org/10.3389/fmars.2023.1093542openalex-snapshot
A Part-based Deep Learning Network for identifying individual crabs using abdomen images
inferred← citeshttps://doi.org/10.3389/fmars.2023.1236868openalex-snapshot
Editorial: Aquaculture environment regulation and system engineering
inferred← citeshttps://doi.org/10.3389/fmars.2024.1350385openalex-snapshot
Swimming behavior as a potential metric to detect satiation levels of European seabass in marine cages
inferred← citeshttps://doi.org/10.3389/fmars.2024.1358209openalex-snapshot
A real-time feeding decision method based on density estimation of farmed fish
inferred← citeshttps://doi.org/10.3389/fmars.2024.1365155openalex-snapshot
Multi-object detection and behavior tracking of sea cucumbers with skin ulceration syndrome based on deep learning
inferred← citeshttps://doi.org/10.3389/fmars.2024.1497336openalex-snapshot
Acoustic tags versus camera—a case study on feeding behaviour of European seabass in sea cages
inferred← citeshttps://doi.org/10.3389/fpls.2022.1089961openalex-snapshot
Sugarcane stem node detection and localization for cutting using deep learning
inferred← citeshttps://doi.org/10.3389/fpls.2023.1209910openalex-snapshot
An improved YOLO v4 used for grape detection in unstructured environment
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