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Agricultural innovation often creates the greatest value when it addresses two structurally different barriers at the same time: market trust and field execution efficiency. This paper presents a dual industry case study covering (1) a QR-driven anti-counterfeit product-authentication system in India and (2) drone-based crop-protection implementation in India and China. The first intervention responded to counterfeit agricultural inputs by enabling farmers to verify product authenticity through package-level QR code scanning and backend system integration. The second addressed safety, labor and precision challenges in crop-protection application by validating and scaling drone-based spraying under field conditions. Using implementation records and public-domain context sources, the paper documents how these interventions improved trust, protected value chains and modernized execution in crop protection. The authentication program was associated with approximately USD 50 million in recovered sales in India, while the drone initiative demonstrated significant time reduction versus manual spraying and improved operator safety by reducing direct chemical exposure. The combined analysis shows how digital trust infrastructure and precision-application technology can complement each other in agricultural transformation.
"ENHANCING AGRICULTURAL TRUST AND PRECISION THROUGH QR AUTHENTICATION AND DRONE-BASED CROP PROTECTION: A DUAL INNOVATION CASE STUDY", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b424-b426, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604192.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