Harnessing Agricultural Data

Abstract

This chapter emphasizes the Find S algorithm to explore the use of cutting-edge computational techniques to improve agri-business sustainability. Precision farming, data analytics, and machine learning are all combined in “agriculture 4.0” to maximize productivity and promote sustainability. Case examples from real-world situations are provided to illustrate the usefulness of using cutting-edge computational techniques in agriculture. The chapter also covers the value of cooperation and government assistance, tackles issues related to technological adoption, and provides solutions for broader acceptance in the farming community. This chapter intends to contribute to the continuing conversation on data-driven decision-making and productivity improvement in the agricultural sector by offering insightful information to researchers, practitioners, policymakers, and stakeholders who are interested in using computational methods to improve sustainability in the industry.