Fabrication of Remotely Controllable Robotic Weed-Ejector Vehicle
Creators
- 1. Department of Mechanical Engineering, JNTUA College of Engineering, Anantapur (Andhra Pradesh), India.
- 1. Department of Mechanical Engineering, JNTUA College of Engineering, Anantapur (Andhra Pradesh), India.
Description
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.
Files
A453714011024.pdf
Files
(542.7 kB)
Name | Size | Download all |
---|---|---|
md5:714148d514d30ce3e043f94a137deb67
|
542.7 kB | Preview Download |
Additional details
Identifiers
- DOI
- 10.35940/ijeat.A4537.14011024
- EISSN
- 2249-8958
Dates
- Accepted
-
2024-10-15Manuscript received on 30 July 2024 | Revised Manuscript received on 27 August 2024 | Manuscript Accepted on 15 October 2024 | Manuscript published on 30 October 2024.
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