A review and importance of big data analytics in food, agriculture, natural resources, and human sciences

Musa, Ngbede (2025) A review and importance of big data analytics in food, agriculture, natural resources, and human sciences. International Journal of Science and Research Archive, 15 (1). pp. 1342-1346. ISSN 2582-8185

Big Data Analytics (BDA) is revolutionizing decision-making but remains underutilized in Food, Agriculture, Natural Resources, and Human (FANH) sciences. This study assesses the perceived importance of data analytics knowledge among FANH professionals. It explores differences in perceptions based on workplace data analytics usage and work experience. A literature review highlights BDA's potential to improve efficiency, sustainability, and innovation in FANH disciplines. However, challenges such as inadequate education, limited resources, and institutional resistance hinder adoption. A survey of 88 former Nigerian agribusiness students assessed their proficiency in data analytics. Using MANOVA, findings show that active data analytics users value it more than non-users. Work experience alone does not significantly influence perceptions. The study highlights the need for interdisciplinary curriculum development and targeted training. Integrating analytics into FANH education can enhance decision-making, resource optimization, and sustainability.