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Enhancing Agricultural Support for Small Scale Farmers in Kenya: An IoT-based Mini Weather Station as a Machine Learning Data Collector

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dc.contributor.authorItotia, Solomon
dc.contributor.authorMuriithi, Betsy
dc.contributor.authorGitahi, Stephen
dc.contributor.authorKorir, Phylis
dc.contributor.authorMurigi, Morris
dc.contributor.authorKimutai, Ronny
dc.contributor.authorOlukuru, John
dc.contributor.authorSevilla, Joseph
dc.date.accessioned2024-06-28T11:15:57Z
dc.date.issued2023-12
dc.description.abstractThis paper presents a mini weather station device as a data collector for a machine learning model, aiming to support the Kenyan agricultural sector through small-scale farmers. Most farmers in Kenya practice small-scale farming and often face challenges in accessing timely and accurate weather information, which deters them from making informed decisions on what kind of crops to grow and the type of resources to allocate to their farms. We propose designing and deploying an affordable IoT mini weather station that collects real-time weather data to address this issue. The device has sensors that collect meteorological parameters such as humidity, temperature, light intensity, and atmospheric pressure. The collected data is transmitted to a cloud server and can be used as input for AI-powered machine learning models for forecasting and advisory systems to personalize recommendations to farmers, such as optimal planting time, irrigation schedules, and pest management strategies based on the prevailing weather.
dc.description.sponsorshipAfrican Technology Policy Studies Network; Mozilla Common Voice
dc.identifier.citationItotia, S., Muriithi, B., Gitahi, S., Korir, P., Murigi, M., Kimutai, R., ... & Sevilla, J. (2023, December). Enhancing Agricultural Support for Small Scale Farmers in Kenya: An IoT-based Mini Weather Station as a Machine Learning Data Collector. In 2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT) (pp. 66-71). IEEE.
dc.identifier.urihttps://doi.org/10.1109/GCAIoT61060.2023.10385094
dc.identifier.urihttps://repository.nrf.go.ke/handle/123456789/1020
dc.language.isoen
dc.publisherIEEE Explore
dc.subjectClimate Change
dc.subjectSmallholder Farming
dc.subjectWeather Prediction
dc.subjectInternet of Things
dc.subjectArtificial Intelligence
dc.titleEnhancing Agricultural Support for Small Scale Farmers in Kenya: An IoT-based Mini Weather Station as a Machine Learning Data Collector
dc.typeArticle
dspace.entity.typePublication

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