A Conceptual Design of an IoT-Based System for RealTime Land Coverage Monitoring in Agricultural Machinery

Maulin Vijaybhai Sondarva

Maulin Vijaybhai Sondarva

Abstract

Agriculture is an important field for the world and for the people of the world because it is a straightforward matter that we need food to live, so it is only through this field that that food reaches us. So innovation is also necessary in the agriculture field. If we use current technologies like IoT(Internet of Things) and IIoT(Industrial Internet of Things) and concepts of related fields to farm better, then we can bring many improvements in the particular process of farming and with the help of new technology, we can make that process easier. Currently, there are many farmers in the agriculture field, especially in India, who are deprived of this technology and due to this, if any problem arises while farming, it takes more time to find a solution. In this project, an attempt has been made to solve one such problem, which is Land Coverage Monitoring. There are many farmers in India who still use old machinery for farming, but this level of technology is not available in those machines. This project is trying to create a device that will help farmers to know how much of their land they are operating their machines on. Farmers can install this device in their old machines. Farmers do not have to spend money on modern vehicles for this technology, making it cost-effective for them. Many components have been used to make this device such as Global Positioning System (GPS) Microcontroller Communication Module etc. Other hardware components are also used to make this device, such as an SD card module, TFT display, IMU, TVS diode, and buck converter. The combination of all these hardware components makes the whole device run smoothly. Basically, with the help of these components, the farmer can get information about how much area on the land the machine covers when this device is installed in the machine.

References

1. Rehman S, Talat Bajwa N, Shah MA, Aseeri AO, Anjum A. Hybrid AES-ECC model for the security of data over
cloud storage. Electronics. 2021 Oct 31;10(21):2673.
2. Boguspayev N, Akhmedov D, Raskaliyev A, Kim A, Sukhenko A. A comprehensive review of GNSS/ INS integration techniques for land and air vehicle applications. Applied Sciences. 2023 Apr 12;13(8):4819.
3. Minni R, Gupta R. Low cost real time vehicle tracking system. In2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) 2013 Jul 4 (pp. 1-5). IEEE.