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Journals / Turkish Journal of Mathematics and Computer Science / 2021 / Cilt: 13 - Sayı: 1

A Deep Learning-Based Seed Classification with Mobile Application

Sinan Toklu
Yusuf Başol
Pages
192–203
Publication Date
2022-11-04
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this study, a mobile application has been developed that quickly detects and classifies seed images with high accuracy using CNN, one of the deep learning techniques.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Seed quality is an essential factor in agricultural production.
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Key Findings & Data:Some seeds are inherently small so it is difficult to identify and classify differences between species.
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Conclusion & Impact:In this study, a mobile application has been developed that quickly detects and classifies seed images with high accuracy using CNN, one of the deep learning techniques.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Seed quality is an essential factor in agricultural production. Some seeds are inherently small so it is difficult to identify and classify differences between species. In the traditional method, these differences are classified by experts considering the morphological structure, texture and color. This method involves a classification process that is costly, subjective and time confusing, what makes it necessary to develop a process that can automatically detect the type of seeds. In this study, a mobile application has been developed that quickly detects and classifies seed images with high accuracy using CNN, one of the deep learning techniques.

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Cite This Article

Toklu, S., Başol, Y. (2022). A Deep Learning-Based Seed Classification with Mobile Application. Turkish Journal of Mathematics and Computer Science, Cilt: 13 - Sayı: 1, 192–203. https://ajindex.com/articles/609086

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