Fabrication of Remotely Controllable Robotic Weed-Ejector Vehicle

Article Sidebar

PDF
Published: Oct 30, 2024
DOI: https://doi.org/10.35940/ijeat.A4537.14011024
Keywords:
Weed Mechanism, Testing of Remotely Controllable Vehicle, Remote Control System, Fabrication Components

Main Article Content

K Girishma Yadav
Department of Mechanical Engineering, JNTUA College of Engineering, Anantapur (Andhra Pradesh), India.
https://orcid.org/0009-0000-9679-1000
Prof. B. Durga Prasad
Department of Mechanical Engineering, JNTUA College of Engineering, Anantapur (Andhra Pradesh), India.
https://orcid.org/0009-0000-9679-1000

Abstract

Weed is an unwanted plant in an agriculture field that keeps the crop plants deprived of sunlight, fertilisers and water. If not removed, weed reduces the crop output to a larger extent i.e., endangering the farmer’s interests. There are three main reasons for leaving weed to grow in fields and substantial loss of crop output 1) non-availability of agricultural labour, 2) fear of snake bites and 3) higher amounts of time required for weed injection. As of there are no successful ROVs (Remotely operating vehicles) to get to the weed and capable of pulling off the weed without the farmer physically entering into the agricultural fields. The Proposed model reduces farmers getting exposed to snake bites during weed ejection and reduces the time and labour requirement for weed ejection. The project involves the study of different mechanisms required for weed pull-off from the agricultural fields and remote-control systems, modelling of components, fabrication of components, assembly and testing of the Remotely Controllable Robotic Weed-Ejector Vehicle.

Downloads

Download data is not yet available.

Article Details

How to Cite
[1]
K Girishma Yadav and Prof. B. Durga Prasad , Trans., “Fabrication of Remotely Controllable Robotic Weed-Ejector Vehicle”, IJEAT, vol. 14, no. 1, pp. 17–22, Oct. 2024, doi: 10.35940/ijeat.A4537.14011024.
Issue
Vol. 14 No. 1 (2024): Volume-14 Issue-1, October 2024
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

CC-BY-NC-ND 4.0

Author Biographies

K Girishma Yadav, Department of Mechanical Engineering, JNTUA College of Engineering, Anantapur (Andhra Pradesh), India.

K Girishma Yadav, M.Tech Degrees from JNTUA College of Engineering (Autonomous) in Ananthapuramu in Product Design, B.Tech specialised in Mechanical Engineering. My academic journey reflects a deep passion for mechanical engineering and a commitment to advancing the field. showing my skills in both design and hands-on fabrication. I did the project on the fabrication of a remotely controllable robotic weed-ejector vehicle.  The model minimises farmers' exposure to snake bites and reduces labour in weed ejection. It involves studying mechanisms, remote control, fabrication, assembly, and testing. Expert in problem-solving and analysis. My goals contribute meaningfully to improving safety and minimising snake bite risks during weed ejection. Reduce the time and labour involved in weed management.

Prof. B. Durga Prasad, Department of Mechanical Engineering, JNTUA College of Engineering, Anantapur (Andhra Pradesh), India.

Prof. B. Durga Prasad, M.Tech, PhD, Professor & Head of the Mechanical Engineering Department, brings 20 years of expertise in teaching and placement excellence. Known for his dedication and passion, he motivates students to achieve both academic and personal growth. He has supervised 50 M.Tech dissertations and PhD research at Sathyabama University and JNTUA, with 14 PhD students currently under his guidance. Additionally, he serves on doctoral committees at several universities, consistently exceeding expectations for his position.

How to Cite

[1]
K Girishma Yadav and Prof. B. Durga Prasad , Trans., “Fabrication of Remotely Controllable Robotic Weed-Ejector Vehicle”, IJEAT, vol. 14, no. 1, pp. 17–22, Oct. 2024, doi: 10.35940/ijeat.A4537.14011024.
Share |
Crossref
Scopus
Google Scholar
Europe PMC

References

Bajwa, A. A., Mahajan, G., And Chauhan, B. S. (2017). Non-Conventional Weed Management Strategies for Modern Agriculture. Weed Sci. 63, 723–747. Doi: 10.1614/Ws-D-15-00064.1 https://doi.org/10.1614/WS-D-15-00064.1

Brodie, G., Hamilton, S., Woodworth, J. (2007). An Assessment of Microwave Soil Pasteurization for Killing Seeds and Weeds. Plant Prot. Q. 22, 143–149

Chauhan, B. S. (2012), Weed Ecology and Weed Management Strategies for Dry-Seeded Rice In Asia. Weed Techno l. 26, 1–13. Doi: 10.1614/Wt-D-11-00105.1 https://doi.org/10.1614/WT-D-11-00105.1

Chauhan, B. S., And Johnson, D. E. (2010). The Role of Seed Ecology In Improving Weed Management Strategies In The Tropics. Adv. Agron. 105, 221-262. Doi: 10.1016/S00652113(10)05006-6. https://doi.org/10.1016/S0065-2113(10)05006-6

Duke, S. (2012). Why Haven't Any New Herbicide Modes of Action Appeared in Recent Years? Pest Manage. Sci. 68, 505–512. Doi: 10.1002/Ps.2333 https://doi.org/10.1002/ps.2333

Nithin P. B., Albert Francis R., Ajai John Chemmanam, (2020) Interactive Robotic Testbed For Performance Assessment Of Machine Learning Based Computer Vision Techniques Journal Of Information Science And Engineering 36, 1055-1067 Doi: 10.6688/Jise.202009 36(5).

V, Maruthi, (2019) International Journal for Research in Applied Science and Engineering Technology, DO - 10.22214/ijraset.2019.6089

Chauhan, B. S., And Gill, G. S. (2014). “Ecologically Based Weed Management Strategies,” In Recent Advances in Weed Management, Eds B. S. Chauhan and G. Mahajan (New York, NY: Springer Science Business Media), 1–11. Doi: 10.1007/978-1-4939-1019-9_1. https://doi.org/10.1007/978-1-4939-1019-9_1

Mahesh Pande, Pratik Kuduse, Milind Pethkar, Lukesh Manusmare “Design and Fabrication of Grass Cutter.

Juan I. Latorre-Biel, Ignacio Arana, Tomas Ballesteros, Jesus M. Pintor, Jose R. Alfaro, “Front end loader with automatic levelling for farm tractors” [2016] 111- 126. https://doi.org/10.1016/j.biosystemseng.2016.05.011

Pawar, Ss. H., & Selokar, Dr. G. R. (2019). Design and Optimization of Robot Support Structure for Inverted Operation. In International Journal of Innovative Technology and Exploring Engineering (Vol. 9, Issue 2, pp. 1596–1600). https://doi.org/10.35940/ijitee.b7312.129219

Ryali, V., Kumari, S., Anwar, S. M. N., & S V, Dr. S. (2022). Empathetic Robot for the Elderly using Machine Learning. In International Journal of Soft Computing and Engineering (Vol. 12, Issue 3, pp. 8–11). https://doi.org/10.35940/ijsce.c3578.0712322

K.V, M., P, C., S.R, D., R, D., & V, K. (2020). Voice Controlled Fire Fighting Robot. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 9, Issue 3, pp. 264–267). https://doi.org/10.35940/ijrte.c4407.099320

Singh, S., Chawla, P., & Singh, I. (2019). A Robotic Automated Vegetable Making Machine. In International Journal of Engineering and Advanced Technology (Vol. 8, Issue 5s3, pp. 482–483). https://doi.org/10.35940/ijeat.e1101.0785s319

Singh, S., Ghatnekar, V., & Katti, S. (2024). Long Horizon Episodic Decision Making for Cognitively Inspired Robots. In Indian Journal of Artificial Intelligence and Neural Networking (Vol. 4, Issue 2, pp. 1–7). https://doi.org/10.54105/ijainn.b1082.04020224