A Prototype of Smart Agriculture System Using Internet of Thing Based on Blynk Application Platform
Abstract
The research presents the use of the concept of Internet of Things in monitoring the crops and using it in other agricultural purposes. The field of agriculture has always demanded high standards of resources, professionalism and effort. Today majority of the world depends on agriculture for food consumption, economic growth, trade and employment. It also comes with various set of challenges for the agriculturists. Various agriculturists, famers, and scientists across the globe believe in formulating different plans and ideas to deal with these challenges. Smart farming system which is based on fastest growing Internet of Things (IOT) technology which will be cheaper and more productivity and cost effective. In this research we are focusing of handling various information about the crops under consideration and undertake required commands of the user, for a better management of the crops and the resources. Hence providing the agriculturists across various domains a robust and useful capability. Also promoting research and further exploration in the field of use of electronics and internet technology in agriculture.
Downloads
References
Gondchawar, Nikesh, and R. S. Kawitkar. "IoT based smart agriculture." International Journal of advanced research in Computer and Communication Engineering 5.6 (2016): 838-842.
Nayyar, Anand, and Vikram Puri. "Smart farming: IoT based smart sensors agriculture stick for live temperature and moisture monitoring using Arduino, cloud computing & solar technology." Proc. of The International Conference on Communication and Computing Systems (ICCCS-2016). 2016.
Doshi, Jash, Tirthkumar Patel, and Santosh Kumar Bharti. "Smart Farming using IoT, a solution for optimally monitoring farming conditions." Procedia Computer Science 160 (2019): 746-751.
Soni, Gaurav Kumar, et al. "IOT Based Smart Agriculture Monitoring System." Design Engineering (2021): 2243-2253.
Mumtaz, Rafia, Shahbaz Baig, and Iram Fatima. "Analysis of meteorological variations on wheat yield and its estimation using remotely sensed data. A case study of selected districts of Punjab Province, Pakistan (2001-14)." Italian Journal of Agronomy 12.3 (2017).
Lezoche, Mario, et al. "Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture." Computers in Industry 117 (2020): 103187.
N. Khan, R. L. Ray, G. R. Sargani, M. Ihtisham, M. Khayyam, en S. Ismail, “Current Progress and Future Prospects of Agriculture Technology: Gateway to Sustainable Agriculture”, Sustainability, vol 13, no 9, bl 4883, 2021
Fountas, Spyros, et al. "The future of digital agriculture: technologies and opportunities." IT professional 22.1 (2020): 24-28.
Jamal, Alaa, and Raphael Linker. "Genetic Operator-Based Particle Filter Combined with Markov Chain Monte Carlo for Data Assimilation in a Crop Growth Model." Agriculture 10.12 (2020): 606.
Panigrahi, Shreedhar. "Smart Farming: IOT Based Smart Sensor Agriculture Stick For Live Temperature And Humidity Monitoring." Available at SSRN 3651933 (2020).
Tao, Wen, et al. "Review of the internet of things communication technologies in smart agriculture and challenges." Computers and Electronics in Agriculture (2021): 106352.
Roy, Sanku Kumar, et al. "AgriSens: IoT-based dynamic irrigation scheduling system for water management of irrigated crops." IEEE Internet of Things Journal 8.6 (2020): 5023-5030.H. N. Saha, R. Roy, M. Chakraborty, en C. Sarkar, “Development of IoT-Based Smart Security and Monitoring Devices for Agriculture”, Agricultural Informatics: Automation Using the IoT and Machine Learning, bll 147–169, 2021.
Mohapatra, B. N., and R. K. Mohapatra. "DESIGN OF AN AUTOMATED AGRICULTURAL ROBOT AND ITS PRIME ISSUES." (2020).
Mohapatra, Badri Narayan, et al. "Easy performance-based learning of Arduino and sensors through Tinkercad." International Journal of Open Information Technologies 8.10 (2020).
Mohapatra, Badri Narayan, et al. "Smart Performance of Virtual Simulation Experiments Through Arduino Tinkercad Circuits." Perspectives in Communication, Embedded-systems and Signal-processing-PiCES 4.7 (2020): 157-160.
D. Petrovics en M. Giezen, “Planning for sustainable urban food systems: An analysis of the up-scaling potential of vertical farming”, Journal of Environmental Planning and Management, bll 1–27, 2021.
W. Liu, X.-F. Shao, C.-H. Wu, en P. Qiao, “A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development”, Journal of Cleaner Production, bl 126763, 2021.
A. N. Shahu, C. R. Wagh, R. B. Drona, R. A. Suryawanshi, S. Kagne, en S. S. Patil, “Case Study of Smart Farming Using IoT”, in Computing Technologies and Applications, Chapman and Hall/CRC, 2021, bll 143–158.
K. Sureeya, C. Karupongsiri, en K. Chetpattananondh, “Implementation of a IR Sensor as a Measurement Device for Smart Farming”, in 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2021, bll 742–745.
M. S. D. Abhiram, J. Kuppili, en N. A. Manga, “Smart farming system using IoT for efficient crop growth”, in 2020 IEEE International Students’ Conference on Electrical, Electronics and Computer Science (SCEECS), 2020, bll 1–4.

Copyright (c) 2022 Badri Narayan Mohapatra, Rohan Vilas Jadhav , Ketan Sunil Kharat

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlikel 4.0 International (CC BY-SA 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).