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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM45052

AutoDry : Automation in Food Drying

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10.55041/IJSREM45052

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Monthly (12 issues per year)

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10.55041/IJSREM45052

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MUSS

Mr. U. S. Shirshetti

MAW

Mr. Atharva Wadekar

MJS

Ms. Janhavi Shinde

MOS

Mr. Om Shingade

MSP

Mr. Sujal Patade

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Abstract

Traditional food dehydration methods are often inefficient, labor-intensive, and inconsistent in preserving food quality. This research introduces AutoDry, a smart food drying system that utilizes artificial intelligence and Internet of Things (IoT) to automate food dehydration processes. The system detects food type using a camera, automatically sets the drying parameters, and allows remote monitoring via a mobile application. Developed using Raspberry Pi, temperature sensors, and Java-based software, AutoDry aims to reduce energy consumption, labor requirements, and post-harvest food wastage. The system is scalable for both domestic and industrial use, empowering small-scale farmers to preserve and sell surplus produce efficiently. Experimental results indicate improved drying precision and usability, making AutoDry a sustainable and market-ready solution.

KEYWORDS

Food Dehydration IoT Artificial Intelligence Raspberry Pi Automation Smart Agriculture

Cite This Article

Mr. U. S. Shirshetti, Mr. Atharva Wadekar, Ms. Janhavi Shinde, Mr. Om Shingade, Mr. Sujal Patade, "AutoDry : Automation in Food Drying," International Journal of Scientific Research in Engineering and Management, Apr 2025. https://doi.org/10.55041/IJSREM45052

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Publication Date

4/20/2025

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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