International Journal of Academic Information Systems Research (IJAISR)

Title: Mobile System For Detecting Fake Agricultural Inputs (Fertilizer And Seeds)

Authors: Christopher M. Mwambambale, baraka A. Mugeta & kefa O. Mwanuke

Volume: 10

Issue: 4

Pages: 13-19

Publication Date: 2026/04/28

Abstract:
This review paper examines the Mobile system for detecting fake Agricultural inputs Counterfeit agricultural inputs like fake seeds and fertilizers pose a significant threat to global food security and farmer livelihoods by causing massive crop failures. This proposed mobile based detection system is designed to provide farmers with a reliable, easy to use tool to verify product authenticity at the point of purchase. The system utilizes a combination of high-resolution image processing and encrypted QR code scanning to identify tamper evident packaging and official manufacturer seals. For chemical analysis of fertilizers, the application can integrate with low-cost, portable spectroscopic sensors to detect inconsistencies in nutrient composition. A secure, decentralized blockchain ledger is employed to store manufacturer data, ensuring that the verification records remain immutable and transparent.

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