Check for updates Electronic Nose Architecture for Tomato Data Collection
Lionel Affognon¹, Abdoulaye Diallo, Chérif Diallo, Eugène C Ezin¹, Benin Dangbo
Informations
- Revue / Journal
- Proceedings of the Future Technologies Conference (FTC) 2023, Volume 3
- Éditeur
- Springer Nature
- Pages
- 138
Résumé
Crops like tomatoes are an important source of vitamins and other essential nutrients for a healthy diet. How long a tomato will be useful for excellent health can be predicted by early identification of its state. In this paper, we designed an electronic nose for tomato data collection. The proposed electronic device is setup thanks to eight metal oxide semiconductor gas sensors and another sensor for temperature and humidity. The gas sensors detect the volatile organic compounds emitted by the tomato, which can provide insight into its state of ripeness and overall quality. The temperature and humidity sensor provide additional environmental data that can be used to further refine the predictions. We tested the designed electronic nose on two local varieties of tomatoes found in Benin. Data collected ranged from 0 to 1,023 integer values for gas sensors, from-40 C to+ 80 C for temperature, and from 0 to 100% for humidity. These data will be helpful to train machine learning models to accurately predict the shelf life and overall quality of tomatoes. The obtained results show that our prototype is effective in predicting the shelf life of tomatoes, providing accurate and reliable data that can be used to optimize their consumption.