Data-Driven Agropreneurship (DDA): Empowering Farmers through Predictive Analytics

Oluwatosin Omotola Ajayi 1, Adekunle Stephen Toromade 2, * and Ayeni Olagoke 3

1 University of Bradford, UK.
2 Department of Agricultural Economics, Ladoke Akintola University of Technology, Nigeria.
3 Towdah Farms, Nigeria.
 
Review Article
Magna Scientia Advanced Research and Reviews, 2024, 12(02), 001–007
Article DOI: 10.30574/msarr.2024.12.2.0177
Publication history: 
Received on 16 September 2024; revised on 2274 October 2024; accepted on 29 October 2024
 
Abstract: 
Data-Driven Agropreneurship (DDA) represents a transformative approach in modern agriculture, utilizing predictive analytics to empower farmers with data-driven decision-making capabilities. This paper explores the significant benefits of adopting DDA, including improved crop yields, optimized resource management, and enhanced market opportunities. Despite these advantages, several challenges impede its widespread adoption, such as data access, technological literacy, and inadequate infrastructure. This paper also discusses potential solutions to overcome these barriers, emphasizing the importance of government support, public-private partnerships, and capacity-building initiatives. By addressing these challenges, stakeholders can foster an environment conducive to the successful implementation of DDA, ultimately leading to a more sustainable, productive, and profitable agricultural sector.
 
Keywords: 
Data-Driven Agropreneurship; Predictive Analytics; Agriculture; Crop Yields; Resource Management; Market Opportunities
 
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