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Enhancing Yam Quality Detection Through Computer Vision in Iot and Robotics Applications

https://doi.org/10.2139/ssrn.4681504
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/13836_2021_94openalex-extracted
Population Genomics of Yams: Evolution and Domestication of Dioscorea Species
inferredcites →https://doi.org/10.1007/s00217-020-03664-zopenalex-extracted
Effect of boiling on classification performance of potatoes determined by computer vision
inferredcites →https://doi.org/10.1007/s10681-022-03150-5openalex-extracted
Machine learning based mass prediction and discrimination of chickpea (Cicer arietinum L.) cultivars
inferredcites →https://doi.org/10.1007/s11262-022-01903-xopenalex-extracted
Characterization of yam mosaic viruses from Brazil reveals a new phylogenetic group and possible incursion from the African continent
inferredcites →https://doi.org/10.1007/s11540-021-09528-7openalex-extracted
Development of a Novel Image Analysis and Classification Algorithms to Separate Tubers from Clods and Stones
inferredcites →https://doi.org/10.1016/j.atech.2023.100291openalex-extracted
Using machine learning for image-based analysis of sweetpotato root sensory attributes
inferredcites →https://doi.org/10.1016/j.compag.2021.106451openalex-extracted
Instance segmentation of root crops and simulation-based learning to estimate their physical dimensions for on-line machine vision yield monitoring
inferredcites →https://doi.org/10.1016/j.fochx.2023.100678openalex-extracted
Authenticating the geographical origin of the Chinese yam (Tiegun) with stable isotopes and multiple elements
inferredcites →https://doi.org/10.1016/j.foodchem.2006.02.034openalex-extracted
Computer vision-based image analysis for the estimation of acrylamide concentrations of potato chips and french fries
inferredcites →https://doi.org/10.1016/j.future.2023.01.016openalex-extracted
Internet of Thing (IoT) review of review: Bibliometric overview since its foundation
inferredcites →https://doi.org/10.1016/j.heliyon.2023.e14567openalex-extracted
Development of two smart acoustic yam quality detection devices using a machine learning approach
inferredcites →https://doi.org/10.1016/j.measurement.2023.112532openalex-extracted
Sparse accelerometer-aided computer vision technology for the accurate full-field displacement estimation of beam-type bridge structures
inferredcites →https://doi.org/10.1016/j.rcim.2022.102432openalex-extracted
Human–robot collaboration and machine learning: A systematic review of recent research
inferredcites →https://doi.org/10.1016/j.rcim.2022.102513openalex-extracted
Knowledge augmented broad learning system for computer vision based mixed-type defect detection in semiconductor manufacturing
inferredcites →https://doi.org/10.1016/j.tifs.2023.01.021openalex-extracted
Chinese yam (Dioscorea): Nutritional value, beneficial effects, and food and pharmaceutical applications
inferredcites →https://doi.org/10.1080/01140671.2022.2032213openalex-extracted
Deep learning for crop yield prediction: a systematic literature review
inferredcites →https://doi.org/10.1094/phyto-08-18-0288-ropenalex-extracted
Using Deep Learning for Image-Based Potato Tuber Disease Detection
inferredcites →https://doi.org/10.1109/access.2022.3157619openalex-extracted
Identification and Classification of Mechanical Damage During Continuous Harvesting of Root Crops Using Computer Vision Methods
inferredcites →https://doi.org/10.1109/icacci.2014.6968612openalex-extracted
An automatic flower classification approach using machine learning algorithms
inferredcites →https://doi.org/10.1109/iciss50791.2020.9307584openalex-extracted
Tuber Type Classification Based on Image of Bulbs with Deep Learning
inferredcites →https://doi.org/10.1109/icmtma.2014.56openalex-extracted
Design of Automatic Picking System of Yam Based on SCM
inferredcites →https://doi.org/10.1109/jiot.2021.3063686openalex-extracted
Enabling Massive IoT Toward 6G: A Comprehensive Survey
inferredcites →https://doi.org/10.1126/sciadv.aaw1947openalex-extracted
Yam genomics supports West Africa as a major cradle of crop domestication
inferredcites →https://doi.org/10.1145/3348445.3348471openalex-extracted
Physical Property Analysis of Sweet Potatoes Using Computer Vision
inferredcites →https://doi.org/10.1145/3544548.3581242openalex-extracted
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks
inferredcites →https://doi.org/10.1146/annurev-control-100819-063206openalex-extracted
Recent Advances in Robot Learning from Demonstration
inferredcites →https://doi.org/10.1186/s40537-021-00444-8openalex-extracted
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
inferredcites →https://doi.org/10.13031/aea.11549openalex-extracted
A Carrot Sorting System Using Machine Vision Technique
inferredcites →https://doi.org/10.3390/agriculture11111111openalex-extracted
Sugar Beet Damage Detection during Harvesting Using Different Convolutional Neural Network Models
inferredcites →https://doi.org/10.3390/agronomy11061257openalex-extracted
Results of Laboratory Studies of the Automated Sorting System for Root and Onion Crops
inferredcites →https://doi.org/10.3390/agronomy11101980openalex-extracted
Development of an Optimal Algorithm for Detecting Damaged and Diseased Potato Tubers Moving along a Conveyor Belt Using Computer Vision Systems
inferredcites →https://doi.org/10.3390/app10175776openalex-extracted
A Review of the Artificial Neural Network Models for Water Quality Prediction
inferredcites →https://doi.org/10.3390/foods10092146openalex-extracted
Imaging Spectroscopy and Machine Learning for Intelligent Determination of Potato and Sweet Potato Quality
inferredcites →https://doi.org/10.3390/s20185293openalex-extracted
Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning
inferredcites →https://doi.org/10.3390/world4020020openalex-extracted
Indigenous Food Yam Cultivation and Livelihood Practices in Cross River State, Nigeria
inferredcites →https://doi.org/10.48175/ijarsct-2898openalex-extracted
Deep Learning for Computer Vision: A Brief Review
inferredcites →https://doi.org/10.48550/arxiv.2302.11703openalex-extracted
inferredcites →https://doi.org/10.5296/jsss.v9i2.20486openalex-extracted
Yam Cultivation as an Obstacle to Forest Recolonisation in the Subprefecture of Dimbokro
inferredcites →https://doi.org/10.9734/sajrm/2020/v6i330149openalex-extracted
Physico-Chemical Properties of Water Yam and Cowpea Flour Blends for Production of Snacks
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