A secure framework for IoT-based smart climate agriculture system: Toward blockchain and edge computing

Abstract An intelligent climate and watering agriculture system is presented that is controlled with Android application for smart water consumption considering small and medium ruler agricultural fields. Data privacy and security as a big challenge in current Internet of Things (IoT) applications, as with the increase in number of connecting devices, these devices are now more vulnerable to security threats. An intelligent fuzzy logic and blockchain technology is implemented for timely analysis and securing the network. The proposed design consists of various sensors that collect real-time data from environment and field such as temperature, soil moisture, light intensity, and humidity. The sensed field information is stored in IoT cloud platform, and after the analysis of entries, watering is scheduled by implementing the intelligent fuzzy logic and blockchain. The intelligent fuzzy logic based on different set of rules for making smart decisions to meet the watering requirements of plant and blockchain technology provides necessary security to the IoT-enabled system. The implementation of blockchain technology allows access only to the trusted devices and manages the network. From the experimentation, it is observed that the proposed system is highly scalable and secure. Multiple users at the same time can monitor and interact with the system remotely by using the proposed intelligent agricultural system. The decisions are taken by applying intelligent fuzzy logic based on input variables, and an alert is transmitted about watering requirements of a field to the user. The proposed system is capable of notifying users for turning water motor on and off. The experimental outcomes of the proposed system also reveal that it is an efficient and highly secure application, which is capable of handling the process of watering the plants.

[1]  Amit Kishor,et al.  Task Offloading in Fog Computing for Using Smart Ant Colony Optimization , 2021, Wireless Personal Communications.

[2]  Chinmay Chakraborty,et al.  Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System , 2021, Wireless Personal Communications.

[3]  Chinmay Chakraborty,et al.  Early and accurate prediction of diabetics based on FCBF feature selection and SMOTE , 2021, International Journal of System Assurance Engineering and Management.

[4]  S. Kubler,et al.  Innovative blockchain-based farming marketplace and smart contract performance evaluation , 2021, Journal of Cleaner Production.

[5]  Gaurav Dhiman,et al.  Line Monitoring and Identification Based on Roadmap Towards Edge Computing , 2021, Wirel. Pers. Commun..

[6]  Ashutosh Sharma,et al.  Recent Trends in Information and Communication Technologies (ICT) Using Emerging Technologies , 2021 .

[7]  Surajit Bag,et al.  Application of blockchain technology for sustainability development in agricultural supply chain: justification framework , 2021, Operations Management Research.

[8]  Wilson Jeberson,et al.  Diagnosis of Heart Disease Using Internet of Things and Machine Learning Algorithms , 2021 .

[9]  Erik van Ingen,et al.  Applying blockchain to climate action in agriculture : State of play and outlook : background paper , 2021 .

[10]  G Lavanya,et al.  An automated low cost IoT based Fertilizer Intimation System for smart agriculture , 2020, Sustain. Comput. Informatics Syst..

[11]  Mohammad Hossein Ronaghi,et al.  A blockchain maturity model in agricultural supply chain , 2020, Information Processing in Agriculture.

[12]  Pradeep Kumar Singh,et al.  An integrated fire detection system using IoT and image processing technique for smart cities , 2020 .

[13]  Satyanarayana Vollala,et al.  Blockchain based secured information sharing protocol in supply chain management system with key distribution mechanism , 2020, J. Inf. Secur. Appl..

[14]  Anita Gehlot,et al.  Adoption of blockchain technology in various realms: Opportunities and challenges , 2020, Secur. Priv..

[15]  Jiajin Huang,et al.  Blockchain Technology for Agriculture: Applications and Rationale , 2020, Frontiers in Genetics.

[16]  Jaime Lloret,et al.  IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture , 2020, Sensors.

[17]  Sudeep Tanwar,et al.  Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges , 2020, Mechanical Systems and Signal Processing.

[18]  Dan Huang,et al.  Research on Value Integration Mode of Agricultural E-Commerce Industry Chain Based on Internet of Things and Blockchain Technology , 2020, Wirel. Commun. Mob. Comput..

[19]  Ashutosh Sharma,et al.  Computation of the Reliable and Quickest Data Path for Healthcare Services by Using Service-Level Agreements and Energy Constraints , 2019, Arabian Journal for Science and Engineering.

[20]  Sanjay Misra,et al.  Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges , 2019, Internet Things.

[21]  Xin Wang,et al.  A smart agriculture IoT system based on deep reinforcement learning , 2019, Future Gener. Comput. Syst..

[22]  Vandung Nguyen,et al.  Smart Agriculture Using IoT Multi-Sensors: A Novel Watering Management System , 2019, J. Sens. Actuator Networks.