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Fabrication of Remotely Controllable Robotic Weed-Ejector Vehicle
K. Girishma Yadav1, B. Druga Prasad2

1K Girishma Yadav, Department of Mechanical Engineering, JNTUA College of Engineering, Anantapur (Andhra Pradesh), India.

2Prof. B. Durga Prasad, Department of Mechanical Engineering, JNTUA College of Engineering, Anantapur (Andhra Pradesh), India. 

Manuscript received on 30 July 2024 | Revised Manuscript received on 27 August 2024 | Manuscript Accepted on 15 October 2024 | Manuscript published on 30 October 2024 | PP: 17-22 | Volume-14 Issue-1, October 2024 | Retrieval Number: 100.1/ijeat.A453714011024 | DOI: 10.35940/ijeat.A4537.14011024

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A Weed is an unwanted plant in an agricultural field that keeps the crop plants deprived of sunlight, fertilisers and water. If not removed, weeds reduce crop output to a greater extent, thereby 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. Currently, there are no remotely operated vehicles (ROVs) capable of reaching the weeds and pulling them off without the farmer physically entering the agricultural fields. The Proposed model reduces the risk of farmers being exposed to snake bites during weed ejection and reduces the time and labour requirements for weed ejection. The project involves studying different mechanisms required for weed pull-off from agricultural fields and remote-control systems, modelling of components, fabrication of components, assembly, and testing of the Remotely Controllable Robotic Weed-Ejector Vehicle.

Keywords: Weed Mechanism, Testing of Remotely Controllable Vehicle, Remote Control System, Fabrication Components.
Scope of the Article: Artificial Intelligence & Methods