ABSTRACT
Agriculture remains the backbone of Nigeria's economy, employing over 70% of the population and contributing significantly to national GDP. However, the sector faces numerous challenges including low productivity, climate variability, poor access to timely information, and inefficient resource utilization. The integration of sensors and data analytics offers transformative potential for addressing these limitations and improving agricultural decision-making through precision agriculture. This study examined the role of sensors and data analytics in improving agricultural decision-making in Nigerian farms, with specific focus on Kaduna Metropolis. The study was guided by three objectives: to examine the extent to which sensor technologies are being adopted by Nigerian farmers for agricultural decision-making; to analyze the impact of data analytics on farm productivity and resource optimization; and to identify the challenges and limitations associated with the integration of sensors and data analytics in Nigerian agriculture. The study adopted a survey research design and was conducted in Kaduna North and Kaduna South Local Government Areas. The target population comprised farmers and agricultural stakeholders, from which a sample of 330 respondents was selected using a multi-stage sampling technique, with the sample size determined using the Taro Yamane formula. Data was collected using a structured questionnaire which was validated by experts and tested for reliability through a pilot study. Data analysis employed both descriptive and inferential statistics, with Pearson correlation used to test the research hypothesis at 0.05 level of significance.
