Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-12-18
2024-10-25
Manuscript received May 8, 2024; revised May 30, 2024; accepted July 3, 2024; published December 18, 2024
Abstract—Corn is regarded as a high-yielding crop due to its flexibility and resistance. However, the excessive use of pesticides has led to the development of resistance in weeds, which has led to an increase in their use and the perpetuation of a vicious cycle. Conversely, inadequate weed control can result in the deprivation of nutrients, water, and sunlight, essential for optimal crop development. This can impede growth, reduce productivity, and, in extreme cases, result in crop loss. This paper proposes the implementation of a farming robot that can accurately use pesticides and remove weeds during the production process. As farming robots have revolutionized the corn industry, increasing efficiency and yield, they can perform tasks such as planting, harvesting, plant health monitoring, and pest control more accurately and quickly than traditional systems. This analysis provided a proof of concept for the implementation of a prototype, focusing on corn crops, which will enable farmers to produce higher-quality food and safeguard workers’ health by reducing exposure to high doses of chemicals. In this way, this project confirms the advancement of agricultural robots for spraying and weeding in the future. Keywords—agricultural robot, sprayer, pesticides, weeding Cite: Roger Fernando Asto Bonifacio, Jezzy James Huaman Rojas, Joel Contreras Núñez, and César Quispe López, "Optimization of Corn Farming: Proof of Concept for the Design of a Multifunctional Agricultural Robot for Weeding and Pesticide Application," International Journal of Mechanical Engineering and Robotics Research, Vol. 13, No. 6, pp. 608-617, 2024.Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.