Harnessing Agricultural Data: Advancing Sustainability Through the Application of Find S Algorithm

Harnessing Agricultural Data: Advancing Sustainability Through the Application of Find S Algorithm

C. V. Suresh Babu, Yadavamuthiah K., Sathiyanarayana S., Sheldon Mathew
Copyright: © 2024 |Pages: 13
DOI: 10.4018/979-8-3693-3583-3.ch011
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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.
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Review Of Literature

Abubacker and Raheem (2024) deliver a pioneering research on smart agriculture in Malaysia, highlighting creative solutions that use ubiquitous computing to drive long-term economic growth. Despite restrictions such as data accessibility issues, technical infrastructure discrepancies, and socioeconomic considerations, the article proposes ground-breaking solutions. The paper suggests real-time monitoring and decision support systems for agricultural techniques by integrating IoT sensors, drones, and mobile apps. Furthermore, it emphasises long-term economic growth by merging technical advances with environmentally responsible farming methods. The study advocates for multidisciplinary collaboration to promote information sharing and stakeholder involvement, hence promoting the co-creation of specialised smart agriculture solutions.

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