Assessing Preparedness for Smart Farming and Technology Adoption among Kenyan Farmers

dc.contributor.authorGichuki, Dennis Karugu
dc.contributor.authorMbuguah, Samuel Mungai
dc.contributor.authorOwoche, Patrick Oduor
dc.contributor.authorOyile, Paul Oduor
dc.date.accessioned2026-03-26T13:46:07Z
dc.date.available2026-03-26T13:46:07Z
dc.date.issued2024-09-16
dc.descriptionJournal Article
dc.description.abstractAgriculture is crucial in reducing poverty, promoting economic prosperity, and ensuring food security for the world’s growing population, which is expected to reach 9.7 billion by 2050. This sector is vital to the global economy, contributing significantly to GDP and providing jobs for a large workforce. Precision agriculture and e-commerce advances have proven beneficial, boosting crop yields and rural incomes. Sub-Saharan Africa faces similar agricultural challenges as it anticipates a population of 2.1 billion by 2050. Although the region has made strides in expanding farmland and labour, improvements in crop yields have been limited. The digital revolution offers new opportunities to tackle issues such as undernutrition by improving access to information and technology. In Kenya, with a population projected to reach 95 million by 2050, expanding food production is a pressing challenge. Significant hurdles include declining soil fertility, inadequate water management, and a lack of technical support. While technologies like Wireless Sensor Networks (WSNs) and Machine Learning (ML) have the potential to enhance agricultural productivity, their adoption is constrained by infrastructure issues, high costs, and a shortage of technical expertise. Addressing these barriers and improving farmer education is essential to fully realising these technologies' benefits.
dc.description.sponsorshipKIBU
dc.identifier.citationGichuki., D. K., Mbuguah, S. M., Owoche, P. O., & Oyile, P. O. (2024). Assessing Preparedness for Smart Farming and Technology Adoption among Kenyan Farmers. International Journal of Research and Innovation in Applied Science, 9(8), 548–555. https://doi.org/10.51584/IJRIAS.2024.908048
dc.identifier.issn2454-6194
dc.identifier.urihttp://erepository.kibu.ac.ke/handle/123456789/11483
dc.language.isoen
dc.publisherInternational Journal of Research and Innovation in Applied Science
dc.relation.ispartofseries9; 8
dc.subjectSmart Farming
dc.subjectMachine Learning
dc.subjectWSN
dc.subjectagricultural productivity
dc.titleAssessing Preparedness for Smart Farming and Technology Adoption among Kenyan Farmers
dc.typeArticle

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