Combining Internet of Things, Artificial Intelligence and Blockchain to Control the Agrochemical Supply Chain
Abstract
The movement of agrochemicals in the production chain is immense, providing opportunities for theft, misuse and tax evasion. Current national control is precarious and needs improvement, thus opening up a vast field of research. According to the literature in the area, the current traceability proposals use only a few sensors, in addition to the fact that there is no combination and integration between them. In this context, this work presents a model that allows the traceability of pesticides, combining sensors of Internet of Things (IoT), machine learning, fog networks, radio frequency identification (RFID) and block- chain. The differential of the model is the contribution of a modular proposal that allows security and reliability in the control of products. The developed model presented concise and promising results. When moving objects inside and outside containers, sensors capture and send action data for storage and analysis of the following layers of the model.
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