CSEIT20621 | Accepted : 01 March 2020 | Published : 09 March 2020 | March-April-2020 [ 6 (2) : 21-25 ] International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2020 IJSRCSEIT | Volume 6 | Issue 2 | ISSN : 2456-3307 DOI : https://doi.org/10.32628/CSEIT20621 21 A Modernized IoT Enabled Smart Farming Using LoRa WAN Techniques 1 A. Sriram, 2 M. Tharun, 3 K.Venkatesh Prasad, 4 M. Vengateshwaran 1,2,3 UG scholar, Department of Computer Science and Engineering, Agni College of Technology, Chennai, Tamilnadu, India 4 Assistant Professor, Department of Computer Science and Engineering, Agni College of Technology, Chennai, Tamilnadu, India ABSTRACT The Internet of Things (IoT) is growing its way in a number of application domains as its potential effects are being implemented in various scenarios. Agriculture is a domain in which IoT can prove highly beneficial by improving operational efficiency through using the resources carefully, disease monitoring, harvesting process etc. In our paper we develop a decision based support system for smart farming that exploits data from a multitude of sources that provide vital information. Specifically, we combine data from a number of sensors receive via a LoRa WAN network along weather and crop data to carry out informed decisions which at the current stage are primarily focusing on the usage of water as well as crop protection from adverse weather which is increasingly troubling farmers due to the climate changes the whole world is experiencing. In our implementation we utilize off-the-shelf hardware and industry standards demonstrating the high potential of our proposal while indicating that the technological barriers are significantly lower now a days. Keywords : IOT, Lora-WAN, Smart farming I. INTRODUCTION The technological revolution brought by the Internet of Things (IoT) has inevitably started introducing major changes and enhancements in numerous application domains that include transportation, health, the environment etc. One application domain where we anticipate significant penetration of IoT- based technologies is agriculture with an increasing number of smart farming deployments and case- studies beginning to appear. Farmers and their agricultural advisors are set to benefit immensely from the introduction of the IoT in their sector provided that systems meet their needs and are affordable representing value for money. The main contribution of our work is the fusion of data from the most modern sources of information i.e. IoT with longstanding sources for weather forecasting as well as crop related information. Based on the combination of information, recommendations for irrigation management are provided to ensure that crops are properly irrigated while water is conserved where possible. Moreover, our alerting concept is expected to help farmers protect their crops from adverse weather conditions. Note that we utilize off- the-shelf components in our proof-of-concept to demonstrate that the entry barriers are no longer 'very high'. The rest of this paper is organized as follows: Section 2 contains background information on our work with Section 3 describing the key concepts of our system architecture. Section 4 presents our implementation and results with Section 5 concluding the paper with our summary and future work plans.