Abstract
The Aflatoxin contamination of maize has been a major challenge to Rwandans due to health problems arises from it as well as the production losses. This study focused on providing an IoT-based solution that will be used to monitor three major parameters that facilitate the growth of aflatoxin in the stored maize namely: Temperature, Humidity, and Carbon monoxide concentration. Real-time information on the health of the stored maize and automatic controlling actions are the key components that will help us prevent aflatoxin in maize stores. A sample of good quality maize was monitored over a period of time by paying attention to three major atmospheric parameters which are Temperature, Humidity, and Carbon dioxide. In the end, it was shown that the quality of maize was maintained/unchanged under 23 to 35° of Temperature, between 40–60 of Relative Humidity, and at a carbondioxide concentration level less than 50 ppm. This indicates that the good quality of the stored maize can be maintained for a long period once the above-mentioned parameters are monitored in real-time with automatic controlling actions in place.
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Bamurebe, M., Masabo, E., Uwitonze, A. (2023). Aflatoxin Prevention in Post-Harvest Maize: A Case Study of Maize Storage Facilities in Rwanda. In: Balas, V.E., Jain, L.C., Balas, M.M., Baleanu, D. (eds) Soft Computing Applications. SOFA 2020. Advances in Intelligent Systems and Computing, vol 1438. Springer, Cham. https://doi.org/10.1007/978-3-031-23636-5_25
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