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Classification of viable/non-viable seeds of specialty maize genotypes using spectral and image data plus morphological features
(Taylor and Francis Ltd., 2022)
Seed viability is an important consideration for agricultural production. The number of studies on the measurement of seed viability in specialty maize genotypes via new approaches is limited. This study was carried out ...
Machine learning driven extended matrix norm method for the solution of large-scale zero-sum matrix games
(Elsevier B.V., 2023)
In this paper, we develop a novel machine learning-driven framework for solving large-scale zero-sum matrix games by exploiting patterns discovered from the offline extended matrix norm method. Modern game theoretic tools ...
An Ontology based product recommendation system for next generation e-retail
(Taylor and Francis Ltd., 2023)
The number of e-commerce resources has increased considerably. Thus, it has become important for sellers to be able to quickly recommend products to potential buyers. Some product recommendation systems developed for this ...
A comprehensive study on the quality characteristics of sweet red pepper paste and the evaluation of near-infrared spectroscopy as a rapid alternative tool
(Springer Science and Business Media Deutschland GmbH, 2023)
Red pepper (Capsicum annuum L. cv. Capia) is an important vegetable obtained from a 1-year cultivated plant belonging to the Solanaceae family. Among the products of red pepper, its paste is very similar to tomato paste ...
Identification of apple varieties using hybrid transfer learning and multi-level feature extraction
(Springer Science and Business Media Deutschland GmbH, 2023)
The process of identifying apple varieties holds pivotal importance in pomology and agricultural science. This intricate task not only aids growers in optimizing orchard management, but also profoundly impacts consumers ...
Prediction of drinking water quality with machine learning models: A public health nursing approach
(John Wiley and Sons Inc, 2024)
Objective: The aim of this study is to use machine learning models to predict drinking water quality from a public health nursing approach. Design: Machine learning study. Sample: “Water Quality Dataset” was used in the ...
Machine Learning-Assisted Near- and Mid-Infrared spectroscopy for rapid discrimination of wild and farmed Mediterranean mussels (Mytilus galloprovincialis)
(Elsevier Inc., 2024)
The objective of this study was to investigate the ability to discriminate between wild and farmed Mediterranean mussels (Mytilus galloprovincialis) using machine learning-assisted near-infrared (NIR) and mid-infrared (MIR) ...