Smart Pre-Seeding Decision Support System for Agriculture
Subject Areas : Decision support systemsAhmed Wasif Reza 1 , Kazi Saymatul Jannat 2 , MD.Shariful Islam 3 , Surajit Das Barman 4
1 - Department of Computer Science and Engineering, East West University, Dhaka-1212, Bangladesh
2 - Department of Computer Science and Engineering, East West University, Dhaka-1212, Bangladesh
3 - Department of Computer Science and Engineering, East West University, Dhaka-1212, Bangladesh
4 - Department of Computer Science and Engineering, East West University, Dhaka-1212, Bangladesh
Keywords: Agriculture, Internet of Things, Pre-seeding, Decision support system.,
Abstract :
In recent years, the Internet of Things (IoT) brings a new dimension for establishing a precision network connectivity of sensors, especially in the agriculture and farming industry, medical, economic, and several sectors of modern society. Agriculture is an important area for the sustainability of mankind engulfing manufacturing, security, and resource management. Due to the exponential diminishing of the resources, innovative techniques to support the subsistence of agriculture and farming. IoT aims to extend the use of internet technology to a large number of distributed and connected devices by representing standard and interoperable communication protocols. This paper brings up a solution by IoT, presents the design and implementation of a smart pre-seeding decision support system for agricultural modernization. This project is accomplished by understanding the real-time circumstances in the agriculture field using wireless technology that highlighted the features including pH and temperature sensors, hardware, mobile application, system’s frontend, and backend analysis, and stores the extracted information in the cloud using IoT. The system is made up of frontend data acquisition, data transmission, data processing, and reception, and is also experimentally validated to find out all possible crops that can be cultivated in a specific land with the required amount of fertilizers as well as the overall crops distribution lists.
[1] K. Raviteja, and M. Supriya, “IoT-Based Agriculture Monitoring System”, Data Engineering and Communication Technology, Vol. 1079, 2020, pp. 473-483.
[2] S. Ratnaparkhi, S. Khan, C. Arya, S. Khapre, P. Singh, M. Diwakar, and A. Shankar, “Smart agriculture sensors in IOT: A review”, in Materials Today: Proceedings, 2020.
[3] P. M. Jyothi, and D. Nandan, “Utilization of the Internet of Things in Agriculture: Possibilities and Challenges”, Soft Computing: Theories and Applications, 2020, pp. 837-848.
[4] M. A. Ferrag, L. Shu, X. Yang, A. Derhab, and L. Maglaras, “Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges”, IEEE Access, Vol. 8, 2020, pp. 32031-32053.
[5] N. Gondchawar, and R. S. Kawitkar “IoT based Smart Agriculture”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, No. 6, 2016, pp. 838-842.
[6] T. Robles, R. Alcarria, D. Martin, M. Navarro, R. Calero, S. Iglesias, and M. Lopez, "An IoT based reference architecture for smart water management processes", Journal of Wireless Mobile Networks, Ubiquitous Computing and Dependable Applications, Vol. 6, No. 1, 2015, pp. 4-23.
[7] L. Zhao, L. He, X. Jin, and W. Yu, “Design of Wireless Sensor Network Middleware for Agricultural Applications”, in International Conference on Computer and Computing Technologies in Agriculture, 2012, pp. 270-279.
[8] K. R. Anusha, and K. R. Shobha, "Design and Implementation of Wireless Sensor Network for Precision Agriculture", International Journal Scientific Engineering and Applied Science, Vol. 1, 2015, pp. 521-527.
[9] S. A. Jaishetty, and R. Patil, "IoT Sensor Network Based Approach for Agricultural Field Monitoring and Control", International Journal of Research in Engineering and Technology, Vol. 5, No. 06, 2016, pp. 2319-1163.
[10] P. Sanjeevi, and P. Viswanathan, “NUTS scheduling approach for cloud data centers to optimize energy consumption”, Computing, Vol. 99, No. 12, 2017, pp. 1179-1205.
[11] P. Sanjeevi, and P. Viswanathan, “Smart homes IoT techniques for dynamic provision of cloud benefactors”, International Journal of Critical Computer-Based Systems, Vol. 7, No. 3, 2017, pp. 209-224.
[12] G. Kesavan, P. Sanjeevi, and P. Viswanathan, “A 24 hours IoT framework for monitoring and managing home automation”, in International Conference on Inventive Computation Technologies (ICICT), 2016, Vol. 1, pp. 367-371.
[13] M. A. Supreetha, M. R. Mundada, and J. N. Pooja, “Design of a smart water-saving irrigation system for agriculture based on a wireless sensor network for better crop yield”, in International Conference on Communications and Cyber Physical Engineering, 2018, pp. 93-104.
[14] M. A. Mattar, T. K. Z. El-Abedin, A. A. Alazba, and H. M. Al-Ghobari HM, “Soil water status and growth of tomato with partial root-zone drying and deficit drip irrigation techniques”, Irrigation Science, Vol. 38, No. 2, 2020, pp. 163-176.
[15] A. Kapoor, S. I. Bhat, S. Shidnal, and A. Mehra, "Implementation of IoT (Internet of Things) and Image Processing in Smart Agriculture", in International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), 2016, pp. 21-26.
[16] K. Spandana, and S. Pabboju, S. “Applications of IoT for Soil Quality,” in International Conference on Intelligent Computing and Communication Technologies, 2019, pp. 277-286.
[17] A. Badhe, S. Kharadkar, R. Ware, P. Kamble, and S. Chavan, “IOT based smart agriculture and soil nutrient detection system”, International Journal on Future Revolution in Computer Science & Communication Engineering, Vol. 4, No. 4, 2018, pp. 774-777.
[18] H. Z. Wang, G. W. Lin, J. Q. Wang, W. L. Gao, Y. F. Chen, and Q. L. Duan, “Management of big data in the internet of things in agriculture based on cloud computing”, applied mechanics and materials, Vol. 548, 2014, pp. 1438-1444.