Affiliation:
1. School of Computer Science Engineering and Information Systems, Vellore Institute of Technology (VIT), Vellore, India
Abstract
Smart agriculture applications using IoT (Internet of Things) is getting popular in recent years. IoT-based smart agriculture applications involve the use of various sensor devices, such as soil sensors, weather stations, and drones, to collect data on environmental factors such as temperature, humidity, rainfall, soil moisture, and nutrient levels. This data is transmitted to the cloud where it is processed and analyzed to provide insights and recommendations to farmers. Smart agriculture applications using IoT can help farmers make data-driven decisions, reduce costs, and improve crop yields. This book chapter discusses the architecture and technologies used in IoT, then the three layers of IoT-based smart agriculture applications namely the physical layer, edge layer, and cloud layer. It also highlights the potential benefits of IoT-based smart agriculture applications and discusses the challenges of implementing IoT-based agriculture to improve farming practices.
Reference38 articles.
1. Climate‐smart agriculture using intelligent techniques, blockchain and Internet of Things: Concepts, challenges, and opportunities
2. Ahamed, A. S. A., Yesudhasan, J., Alagarsamy, M., Anbalagan, K., Sakkarai, J., & Suriyan, K. (2022). [Data set]. SRM Engineering College.
3. Alyahya, S., Khan, W., Ahmed, S., Safdar N., & Habib, S. (2022). Cyber Secure Framework for Smart Agriculture: Robust and Tamper-Resistant Authentication Scheme for IoT Devices. .0.3390
4. Ashir, D., Ahad, T., Talukder, M., & Rahman, T. (2022). Internet of Things (IoT) based Smart Agriculture Aiming to Achieve Sustainable Goals.
5. A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses