Automated Rover For Agriculture and Field Management

AUTHOR(S)

Sunil Yadav, Dr. Munindra Kumar Singh, Pankaj Kumar

DOI: https://doi.org/10.46647/ijetms.2023.v07i05.039

ABSTRACT
Modern software and communication technology have significantly advanced agriculture. This entails integrating automated technology into field monitoring and agriculture. We introduce our device, the Automated Rover for Agriculture and Field Management, to improve automation in agriculture. Using leaf colour as a gauge, this product primarily aids in determining soil quality and plant health. This tool analyses the field conditions, such as soil moisture, temperature, and humidity, and it also detects the environment, such as rainfall, and the field's objects. Introducing IOT and an Android application to operate the product is necessary to make this advancement. With the Android app, we can manage this product. By connecting to the rover with IOT Wi-Fi modules, this programme has made additional advancements, fixing the device has a camera, and we can use mobile applications to obtain updates from the camera. To keep the system running, the rover is made up of several sensors and microcontrollers. The Node Microcontroller units are also used to transport the signals, and the Arduino Uno is positioned in the centre to transfer 3 inputs and outputs. An LCD display is also included on the product to show several outputs notwithstanding the Android application. This product controls the initial forming and field condition identification phases. The study has also advanced by analysing the plant and providing images of it, particularly of its leaves. Using the colour of the leaves, this aids in analysing the health of the plant. The illness prediction portion of this study is still in its early phases. This product controls the initial forming and field condition identification phases. The study has also advanced by analysing the plant and providing images of it, particularly of its leaves. Using the colour of the leaves, this aids in analysing the health of the plant. The illness prediction portion of this study is still in its early phases. The health of the plant may be inferred from the leaf's colour. The wheels on this item allow it to be transported into the field. It is essential to boosting productivity by using the best agricultural practises and utilising all the available resources.

Page No: 334 - 338

References:

1. Statistics Times report, published on 8th February 2019, powered by the Ministry of Statistics and Program Implementation.
2. Comparative study of Bullock driven tractors by Technology action group IIT Delhi.
3. Swetabh, Manish Kashyap, Yash Yadav, Ashutosh Singh, Dhruv Kumar “Multi- tasking agricultural machine tool” Vol. (11) Issue (3), IJLTET e-ISSN: 2278-621X.
4. Annual Report of 2018-19, Department of Agricultural Research and Education, Ministry of Agriculture Farmers Welfare Government of India.
5. Planters and their Components – J R Murray, J N Tullberg and B B Basnet, School of Agronomy and Horticulture, University of Queensland, Australia.
6. Handbook of Agriculture, Indian Council for Agriculture Research, New Delhi.
7. Gopal Chandra de, 2008, Fundamentals of Agronomy, Oxford & IBH        Publ. Co., New Delhi.
8. Rathore, P.S., 2002 Techniques and Management of Field Crop Production, Agrobios (India), Jodhpur.
9. Indian agriculture – an- introduction by MM Pandey Director Central Institute of Agricultural Engineering Bhopal, India.
10. Swapnil Lagad, Swapnili Karmore, “Algorithms of Wheat Disease Identification in Spraying Robot System”, IEEE-2017.
11. Zhihua Diao, Chunying Diao, Yuanyuan Wu, “Algorithms of Wheat Disease Identification in Spraying Robot System”, IEEE-2017.
12. Ronberestein, Yael Edan, “Automatic Adjustable Spraying Device for Site-Specific Agricultural Application”, IEEE-2018.
13. Chin-Mu Wu, Ju-jitsu Lu,”: Implementation of remote control for a spraying robot”, IEEE-2017.
14. I.F. Akyildiz, W. Su, Y. Sankara Subramaniam, E. Circa, A survey on sensor networks, IEEE Communications Magazine 40 (8) (2002) 104–112.
15. L. Atzori, A. Iera, and G. Moratorium, "The Internet of Things: A survey," Computer Networks, vol. 54, pp. 2787-2805, 10/28/ 2010.



How to Cite This Article:
Jeevananthan P, Dharun P, Gladwin Rheno S J, Jagadeeshwaran S, Jayaprakash S . Automated Rover For Agriculture and Field Management . ijetms;7(5):334-338. DOI: 10.46647/ijetms.2023.v07i05.039