Technical Analysis of Machine Learning Algorithms in Artificial Intelligence Image Recognition

Shi, Gaoling

doi:10.1109/asiancon58793.2023.10270097

2023 3rd Asian Conference on Innovation in Technology (ASIANCON) 2023

DOI: 10.1109/asiancon58793.2023.10270097

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Technical Analysis of Machine Learning Algorithms in Artificial Intelligence Image Recognition

Gaoling Shi

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2024

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A Comprehensive Methodology for Image Recognition Utilizing Machine Learning and Computer Vision: Automation of the Harvesting Process

Rajab,

Azlan,

Yew

et al. 2024

IJITEE

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This study aims to investigate the machine learning techniques implemented in image recognition technology for the identification and classification of oil palm fruit ripeness. The accurate determination of fruit ripeness is crucial for optimizing harvest time and improving oil yield. The palm oil industry is one of the major plantations in Malaysia. The harvesting process of oil palm fruit was conducted with traditional methods by relying on manual inspection, which can be subjective and inconsistent. Plus, it required several workers. A model of image recognition was developed using machine learning algorithms and computer vision to automate the harvesting process and overcome the shortage of labor issues. Implementing this technology in the field could lead to more consistent harvests and higher-quality oil production. Several machine learning models were developed, trained, and tested for their ability to classify the ripeness stages. The findings suggest the trending techniques in implementing image recognition which can provide a reliable and efficient tool for assessing oil palm fruit ripeness.

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A Comprehensive Methodology for Image Recognition Utilizing Machine Learning and Computer Vision: Automation of the Harvesting Process

Rajab,

Azlan,

Yew

et al. 2024

IJITEE

View full text Add to dashboard Cite

show abstract

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Technical Analysis of Machine Learning Algorithms in Artificial Intelligence Image Recognition

Cited by 1 publication

References 11 publications

A Comprehensive Methodology for Image Recognition Utilizing Machine Learning and Computer Vision: Automation of the Harvesting Process

A Comprehensive Methodology for Image Recognition Utilizing Machine Learning and Computer Vision: Automation of the Harvesting Process

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