Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
Pesticide contamination in fruits and vegetables poses serious threats to human health and global food safety standards. Traditional chemical-based detection methods are time-consuming, destructive, and require laboratory conditions. This research presents a novel non-destructive method to detect pesticide residues in horticultural produce using an embedded Internet of Things (IoT) system. The proposed device integrates sensors like LDR, TDS, thermistor, and CO sensors with an ATmega8 microcontroller for real-time analysis and display. The results are displayed on an LCD, with alerts provided through a buzzer, and optional QR code generation for traceability. The device is portable, low-cost, and capable of real-time operation in field environments. This work aims to empower consumers and food supply stakeholders with accessible pesticide detection technology.
"NON-DESTRUCTIVE TESTING OF PESTICIDES IN HORTICULTURAL PRODUCTS: AN EMBEDDED IoT APPROACH", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a770-a774, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504097.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator