Food Security Transformation: Impact Analysis of IoT-Based Irrigation Water Consumption Patterns in Climate Change Adaptation in Modern Agricultural Systems

Authors

  • Fikri Putra Universitas Andalas

DOI:

https://doi.org/10.70076/apj.v1i3.81

Keywords:

IoT based irrigation, food security, climate change, water efficiency, precision agriculture

Abstract

The transformation of modern agricultural systems through the application of Internet of Things (IoT) technology is a strategic solution in facing the challenges of food security due to climate change. This study aims to analyze the impact of IoT-based irrigation water consumption patterns on water use efficiency, crop productivity, and soil quality in tropical agricultural land. The study was conducted by designing an automatic irrigation system based on ESP32 and soil moisture sensors, and testing its effectiveness during one planting season on 1.5 hectares of land. The results showed that the IoT irrigation system was able to reduce water consumption by up to 35% compared to conventional methods, maintain soil moisture within the optimal range, and increase crop yields by 12%. Furthermore, despite ongoing difficulties with technical assistance and initial investment expenditures, the quality of soil nutrients is better maintained, and farmer satisfaction with this system is high.  IoT-based irrigation can be a flexible and sustainable way to improve food security, according to this study, but its deployment calls on sufficient legislative backing, education, and digital infrastructure. These results offer recommendations for more study in diverse agro-climatic settings as well as a scientific foundation for the advancement of precision agriculture.

References

Smith, P.; Gregory, P. J. Climate Change and Sustainable Food Production; Cambridge University Press: Cambridge, UK, 2013.

Wolfert, S.; Ge, L.; Verdouw, C.; Bogaardt, M.-J. Big Data in Smart Agriculture – A Review. Agricultural Systems 2017, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023

Pereira, L. S.; Cordery, I.; Iacovides, I. Improving Water Use Performance and Productivity Indicators for Sustainable Water Conservation and Savings. Agricultural Water Management 2012, 108, 39–51. https://doi.org/10.1016/j.agwat.2011.05.004

Li, L.; Zhang, Q.; Huang, D. A Review of Remote Sensing Technologies in Precision Agriculture. Computers and Electronics in Agriculture 2014, 107, 111–123. https://doi.org/10.1016/j.compag.2014.01.016

Zhang, N.; Wang, M.; Wang, N. Precision Agriculture – A Global Review. Computers and Electronics in Agriculture 2002, 36(2–3), 113–132. https://doi.org/10.1016/S0168-1699(02)00096-0

Klerkx, L.; Jakku, E.; Labarthe, P. A Social Science Review of Digital Agriculture, Smart Agriculture, and Agriculture 4.0: New Contributions and Future Research Agenda. NJAS - Wageningen Journal of Life Sciences 2019, 90–91, 100315. https://doi.org/10.1016/j.njas.2019.100315

Rose, D. C.; Sutherland, W. J.; Barnes, A. P.; Borthwick, F.; Ffoulkes, C.; Hall, C.; et al. Decision Support Tools for Agriculture: Towards Effective Design and Implementation. Agricultural Systems 2016, 149, 165–174. https://doi.org/10.1016/j.agsy.2016.09.009

Wheeler, T.; von Braun, J. Impacts of Climate Change on Global Food Security. Science 2013, 341(6145), 508–513. https://doi.org/10.1126/science.1239402

Arteii Journal. IoT-Based Irrigation Control System with ESP32 for Sustainable Agriculture. Arteii Journal 2024.

Ignitec. IoT in Agricultural Sustainability: Promoting Environmentally Friendly Agriculture. Ignitec 2025.

ScienceDirect. A Comprehensive Review of Smart and Sustainable Agriculture Using IoT. ScienceDirect 2024.

Downloads

Published

2024-08-02

How to Cite

Fikri Putra. (2024). Food Security Transformation: Impact Analysis of IoT-Based Irrigation Water Consumption Patterns in Climate Change Adaptation in Modern Agricultural Systems. Agricultural Power Journal, 1(3), 39–51. https://doi.org/10.70076/apj.v1i3.81