Performance Evaluation of AI vs Human Agricultural Systems Using Discrete Event Simulation (DES)

DOI

10.2991/978-94-6463-718-2_75How to use a DOI?

Keywords

Discrete Event Simulation (DES); Resource optimization; Agriculture systems; Artificial Intelligence

Abstract

This paper work emphasizes on the enhancement of efficiency and performance level of AI-based agricultural system in comparison to human-based agricultural system addressing the parameters like the crop yields, resource usage and efficiency optimization. The simulation approach has been employed here is Discrete Event Simulation (DES) which is utilized to evaluate the completion time of task and resource usage. With the justification of t-test the results are evaluated which draws a clear line between the AI-based agricultural system and the Human-based agricultural system on efficiency and performance by enhancing the reduction of resource usage and optimizing the productivity of the farming. In comparison, the p-value is less than 0.05 which highlights the work that there is a significant difference among the task time, resource usage. By the advancing AI technologies like predictive analytics, autonomous machinery, IoT senor and so on will overcome the problems faced by the Human-based agricultural system on the era of soil degradation, water shortages and climatic changes. From the view of economic aspect, it helps in reducing the labor-intensive tasks, costs for the operations and uplift the profitable practices of the farming with the limited resources. The research prioritizing the potential transformation in agriculture augmenting the scalability, sustainable and profitable agricultural practice system including the addressment of critical issues to solved like labor shortage, food security and climatic change predictions.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Thirissha Thirissha
AU  - Kothai Kothai
AU  - Sharukesh Sharukesh
AU  - Rajesh Rajesh
AU  - Sanjai Srinivas
AU  - Vincent Gnanaraj
PY  - 2025
DA  - 2025/05/23
TI  - Performance Evaluation of AI vs Human Agricultural Systems Using Discrete Event Simulation (DES)
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 878
EP  - 896
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_75
DO  - 10.2991/978-94-6463-718-2_75
ID  - Thirissha2025
ER  -