A Smart IoT-Based Device for Cyanide Detection in Cassava Using Raspberry Pi5 and MQ Series Sensors to Safeguard Cassava Poisoning

DOI

10.2991/978-94-6463-970-4_3How to use a DOI?

Keywords

IoT-Based Devices; Cyanide Detection; Raspberry Pi 5; Cassava; Food Poison Prevention

Abstract

Food poisoning from cassava remains one of the most consumed food crops globally, many countries rely heavily on the variety of cassava products edible food whiles pharmaceutical companies use cassava to produce drugs such as aspirin and acetaminophen, alcohol-based medications among others. In Ghanaian homes cassava end products like flour, gari, “bachi ampesie”, fufu and chips are heavily consumed. But due to stress on our farmlands commercial and peasant farmers have resorted to farming practices has led to the generating of cyanogenic glycosides: a naturally produced compounds which produces cyanide a dangerous poison in cassava with the potential to damage internal organs such as liver and kidney leading to death. This study proposed a smart cyanide device to help farmers detect the presence of cyanide in cassava at an ambient temperature of 26 oC. Hydrogen Cyanide A (HCN) Sensor - A- mostly referred to as HCN-A1 with Transmitter Board - Toxic – Digital promises efficient results that can outperform our earlier prototype. Our proposed system, using Raspberry Pi 5 as the main IoT board to connect MQ-9 and MQ-135 sensors, has the potential to detect the existence of cyanide in cassava ranging 0.001 mg/kg - 0.5 mg/kg. Our proposed system that uses HCN-A1 proves significant detection between 0.0001 mg/kg - 0.1 mg/kg outperforming Atomic Absorption Spectrophotometer (AAS) and DNA (CYP79D1 gene via CRISPR/Cas9-mediated) genome methods. Our proposed system is a low-cost smart IoT-Based Cyanide system that holds the future to reducing internal disease and high modality rate from the consumption of cassava products.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Nana Yaw Duodu
AU  - Nana Yaw Asabere
AU  - Halina Pamford
AU  - Joseph Agyir
AU  - Tonny Adegboyega
AU  - Joseph Eyram Dzata
AU  - Adelaide Oduro-Asante
PY  - 2025
DA  - 2025/12/31
TI  - A Smart IoT-Based Device for Cyanide Detection in Cassava Using Raspberry Pi5 and MQ Series Sensors to Safeguard Cassava Poisoning
BT  - Proceedings of the International Conference on Engineering, Science, and Urban Sustainability (ICESUS 2025)
PB  - Atlantis Press
SP  - 22
EP  - 36
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-970-4_3
DO  - 10.2991/978-94-6463-970-4_3
ID  - Duodu2025
ER  -