Abstract
Incorporating big data analytics (BDA) into agriculture can help mitigate the impact of global warming. Several data-gathering processes and technology exist. Scalability, accessibility, sustainability, and affordability were the main factors considered in the selection. Climate change has altered typically predictable agricultural practices. But, with the advent of hi-tech solutions like BDA, such changes could be predicted and mitigated. The framework developed as part of this study is one of the ways BDA could be used for maintaining and increasing crop yield even in the face of uncertainty. The proposed framework considers the challenges smallholder farmers in sub-Saharan Africa will encounter in adopting technology in farming practices. The conceptual framework created at the end of the study contains modalities for implementing an analytics-driven and user-friendly solution that could help increase crop yield among rural subsistent farmers.
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Thandekkattu, S.G., Vajjhala, N.R., Dzarma, H. (2022). Examining the Impact of Incorporating Big Data Analytics in Agriculture. In: Goar, V., Kuri, M., Kumar, R., Senjyu, T. (eds) Advances in Information Communication Technology and Computing. Lecture Notes in Networks and Systems, vol 392. Springer, Singapore. https://doi.org/10.1007/978-981-19-0619-0_5
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