IoT-Based Low-Cost Automated Irrigation System for Smart Farming Tajim Md. Niamat Ullah Akhund, Nishat Tasnim Newaz, Zahura Zaman, Atia Sultana, Alistair Barros, and Md Whaiduzzaman Abstract In this research, we present a low-cost intelligent irrigation system for farming. Nowadays, farming is shifted to automated and remote monitoring and management systems integrated with Cloud, Fog, and IoT networks. Our developed prototype can measure water level, temperature, and humidity with a hardware sensor and micro-controller unit. We use different sensors to take different readings and values to decide to turn on or off the motor. We provide essential algorithm and flowchart to explain the system. Our IoT-application-based automated developed system makes an automated system for irrigation and provides notification via mobile SMS to inform us of the irrigation field’s details remotely. Keywords IoT · Smart farming · Smart irrigation · SMS notification · SIM Module 1 Introduction Agriculture is still one of the main GDP growth and national number one activities in many countries. Nowadays significant amount of people depend on farming and agriculture worldwide Therefore, farming and agriculture have a strong impact on our food chain and economic growth and activities nationally and internationally. Thus, we are still largely depend on the farming and agriculture for essential food supply and trade. This work will result a system which will help farmers is agriculture. However, in many countries, worldwide agriculture and farming related tasks are not fully automated. Our farmers are suffering from various problem. Although they Tajim Md. N. Akhund (B ) · Z. Zaman · A. Sultana Department of CSE, Daffodil International University, Dhaka, Bangladesh Tajim Md. N. Akhund · N. T. Newaz · M. Whaiduzzaman Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh A. Barros · M. Whaiduzzaman School of Information Systems, Queensland University of Technology, Brisbane, Australia © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 A. K. Nagar et al. (eds.), Intelligent Sustainable Systems, Lecture Notes in Networks and Systems 333, https://doi.org/10.1007/978-981-16-6309-3_9 83