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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM38435

“AgriVision” A Flutter -Based Application for RealTime Detection of Pesticides Residues on Fruits

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM38435

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM38435

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

SB

Shashidhar Biradar

AS

Aarti Sonkamble

VT

Vaishnavi Thombare

ST

Sayali Thopate

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Abstract

“AgriVision” is a mobile application developed using Flutter, aimed at tackling the serious concern of pesticide residue on fruits. It employs real-time image analysis and machine learning algorithms to identify chemical contaminants present on fruit surfaces, helping ensure compliance with health and food safety standards. By using the smartphone’s camera, users can scan fruits, and the app instantly analyzes and reports the potential presence of hazardous substances. Its intuitive design and mobile nature make it a valuable tool for farmers, sellers, and consumers to evaluate fruit safety and encourage more sustainable farming practices. The project highlights how mobile platforms and artificial intelligence can be merged to deliver effective and scalable solutions in agriculture. Future developments may include linking the app to a centralized database, implementing predictive analytics to monitor pesticide usage patterns, and extending compatibility to a wider range of crops.

KEYWORDS

AgriVision Flutter app instant detection chemical residues fruit safety agricultural innovation mobile technology AI in agriculture image-based analysis smart farming food hygiene CNN-based detection pesticide awareness.

Cite This Article

Shashidhar Biradar, Aarti Sonkamble, Vaishnavi Thombare, Sayali Thopate, "“AgriVision” A Flutter -Based Application for RealTime Detection of Pesticides Residues on Fruits," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024. https://doi.org/10.55041/IJSREM38435

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Publication Date

6/15/2025

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Double-Blind Peer Review

Review Rounds: 2

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

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