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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM38435
Volume:
8 |
11 |
Nov 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
“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
Publication Date
6/15/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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