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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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Issue: May 2024
Volume 9 | Issue 5
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| Paper Title: | Recognition of Deterioration in Fruits Using Machine Learning |
| Authors Name: | Kavya R , Janani M , Lavanya Bhairgond , Kishore Kiran D , Megha Menon K |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_194460
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| Published Paper Id: | IJNRD2305423 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Life cannot exist without food. Food is essential for healthy life. However, the food that we eat today lacks any nutritional value. Numerous preservatives are added to the fruit, which reduces its nutritional content, in order to lengthen its shelf life, improve its texture, and improve its quality. Adulteration in fruits is mainly caused by a chemical named Formalin. Formalin is a colorless, aqueous solution of formaldehyde. Formalin is very dangerous for human life. In our project, we're putting an IoT model into practice that will extract the formalin content of fruits and determine if they're safe to eat or not. A wet sensor and HCHO gas sensor connected with an Arduino is used to extract the formalin content from real fruit, and an LED is used as an output to show if the fruit is safe to eat or not. Convolutional Neural Network (CNN), is being used to classify the fruits based on feature extraction. Our study uses an IoT model and supervised machine learning algorithm to assess whether the fruit is tainted and whether it is safe to consume. |
| Keywords: | Extraction of formalin content, convolutional neural network algorithm. |
| Cite Article: | "Recognition of Deterioration in Fruits Using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e231-e236, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305423.pdf |
| Downloads: | 000118755 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305423 Registration ID: 194460 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: e231-e236 Country: Bengaluru, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305423 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305423 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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