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JAIT 2024 Vol.15(3): 389-396
doi: 10.12720/jait.15.3.389-396

A Novel IoT-Based Smart and Security System Model for Large Scale Farm Sustainability

Narasimha Rao Yamarthi 1,*, Satish Kumar Patnala 2, Srinivasa Rao Battula 3, Hari Kiran Jonnadula 1, Sai Chandana Bolem 1, Koteswara Rao Ch 1, Venkata Rami Reddy Chirra 1, Anil Kumar Yamarthy 1, Venkata Ramana M 4, Srikanth Meda 5, Venkateswara Rao Patibandla 6, and Murali Musunuri 6
1. School of Computer Science and Engineering, VIT-AP University, Guntur, India
2. Department of Information Technology, Anil Neerukonda Institute of Technology & Sciences (ANITS), Visakhapatnam, AP, India
3. School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India
4. Department of Computer Science and Engineering, GITAM Deemed to be University, Visakhapatnam, India
5. Department of Computer Science and Engineering, RVR & JC College of Engineering, Guntur, India
6. Department of Chemistry, RVR & JC College of Engineering, Guntur, India
Email: y.narasimharao@vitap.ac.in (N.R.Y.); psatishkumar.it@anits.edu.in (S.K.P.); srinivas.battula@uohyd.ac.in (S.R.B.); harikiran.j@vitap.ac.in (H.K.J.); saichandana.bolem@vitap.ac.in (S.C.B.); koteswararao.ch@vitap.ac.in (K.R.C.); venkataramireddy.chirra@vitap.ac.in (V.R.R.C.); anil.23phd7035@vitap.ac.in@vitap.ac.in (A.K.Y.); vmancha@gitam.edu.in (V.R.M.); msk@rvr.jc.in (S.M.); pvr007.1@gmail.com (V.R.P.); murali_musuluri@yahoo.com (M.M.)
*Corresponding author

Manuscript received July 10, 2023; revised August 10, 2023; accepted October 26, 2023; published March 14, 2024.

Abstract—The security and automation of work for large scale farm became major problem. Across the globe small scale farm have many techniques to implements but for large scale farm the technical data need to be analyzed for proper implementation of work. The main problem in farming is farming conditions now a days are unpredictable due to environment changes. Hence, we need to observe the environmental conditions for at least 3-years and save the data regarding rainfall and sunlight, O2 and CO2 levels etc. By analyzing such things, the framing can be improved. In this paper, a land near Amaravathi is considered and observed the conditions of soil moisture and prepared a data for further analysis of the study. Smart and Security (SAS) is the most important measure for all the farms to grow substantially. In this paper, the idea of involving Internet of Things (IoT), Global System for Mobile communication (GSM) Module, Global Positioning System (GPS) modules provide security and updated information of the specification to the farmer. Fingerprint based entry system into the farm helps to improve the security. The main objective is to help farmers in monitoring the entire farm land with the help of internet in hand and achieve important updates like soil moisture, temperature is sent to mobile via GSM module for every hour. The entire data collected from the sensors is updated in the cloud server. A dataset is created in the cloud server and will be further utilized for other farms. The articles present a smart and secure monitoring system for large agriculture farm by utilizing both hardware and software systems. A machine learning technique, i.e., deep convolutional neural network is utilized for the development and implementation of proposed model. The parameters like accuracy, sensitivity and specificity have been evaluated to know the performance of proposed model. The proposed model achieved an accuracy of 94.2% which is more efficient when compared to other existing techniques. The entire process has been simulated in MATLAB software tool.
Keywords—Internet of Things (IoT), Global System for Mobile communication (GSM) module, Global Positioning System (GPS) module

Cite: Narasimha Rao Yamarthi, Satish Kumar Patnala, Srinivasa Rao Battula, Hari Kiran Jonnadula, Sai Chandana Bolem, Koteswara Rao Ch, Venkata Rami Reddy Chirra, Anil Kumar Yamarthy, Venkata Ramana M, Srikanth Meda, Venkateswara Rao Patibandla, and Murali Musunuri, "A Novel IoT-Based Smart and Security System Model for Large Scale Farm Sustainability," Journal of Advances in Information Technology, Vol. 15, No. 3, pp. 389-396, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.