“AgriVision” a Flutter -Based Application for RealTime Detection of Pesticides Residues on Fruits .”
ShyamSundar .P.Magar
Department of IT Engineering Zeal College of Engineering and Research
Pune, India shyamsundar.magar@zealeducatio n.com
Shashidhar Biradar
Department of Computer Engineering Zeal College of Engineering and Research
Pune, India shashidharbiradar24@gmail.com
Aarti Sonkamble Department of Computer Engineering
Zeal College of Engineering and Research
Pune, India sonkambleaarti2003@gmail. com
Vaishnavi Thombare Department of Computer Engineering
Zeal College of Engineering and Research
Pune, India vaishnavithombare4857@g mail.com
Sayali Thopate
Department of Computer Engineering Zeal College of Engineering and Research
Pune, India sayalithopate7@gmail.com
Mobile technology offers a promising solution to this 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.