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• W4281554938 abstract "Agrochemicals are products that, due to their hazardous nature and high cost, need to be monitored. The management of agrochemical packaging is generally precarious, and the supply chain needs more control due to its reverse characteristic. Traceability in the supply chain usually uses one sensor and not a combination of multiple sensors. The proposed model allows one to trace agrochemicals with reliable and immutable information coming from various sensors, solving problems of unreliable traceability, product theft, and product tampering. Unlike related work, this model contributes with a proposal segmented in modules that focus on security and scalability in controlling used packaging. In this case, the proofs of concept indicate detection of the opening movement of the safe cabinet from 5 lux (unit of illuminance) and movement of packages after a radius of 2 cm, and the data sending time between the model layers was around 1 second. The positive aspects are benefits for detecting intact products and packages openly within the production process and persistently; other benefits include better use of assets and management of the production chain, real-time production data collection, classification, grouping, and prediction of events. Monitoring the packaging reverse chain and the possibility of transaction auditing. Benefits include better use of assets and management of the production chain, real-time production data collection, classification, grouping, and prediction of events generated by the production operation, and persistence of this information for future transactions and audits. Farmers and society benefit from making production and supply chains cleaner and safer and reducing the risk of costly and environmental accidents. This article is protected by copyright. All rights reserved." @default.
• W4281554938 created "2022-05-27" @default.
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• W4281554938 date "2022-06-06" @default.
• W4281554938 modified "2023-09-25" @default.
• W4281554938 title "On Proposing an Intelligent Model for Tracking Agrochemicals" @default.
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• W4281554938 doi "https://doi.org/10.1002/itl2.382" @default.
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