Abstract
The study purpose was to examine the design and analysis of a solar-powered multifunctional agricultural robot for cotton plants. It was designed primarily for seed sowing operations, which are labour-intensive due to the need of precise and optimum spacing between each plant for better growth and yield, as well as to determine soil moisture content, soil quality, and plant health. Multiple minor sensors were included in the design to determine parameters important for farming such as the light intensity, carbon dioxide composition, nitrogen components in the air, atmospheric temperature and humidity, and were able to achieve 80% accuracy in collecting the data. Therefore, this agricultural robot can be very beneficial in solving labour issues and increase farm productivity by 30% while also being cost-effective. The design and analysis of the robot was done using Solid Works and Ansys software, respectively.
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This research was funded by Indian Institute of Science (IISc.), Bangalore, ARTPARK (AI & Robotics Technology Park) dept., under Innovation Grant Program 2022.
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Poojari, M., Hanumanthappa, H., Prasad, C.D. et al. Computational modelling for the manufacturing of solar-powered multifunctional agricultural robot. Int J Interact Des Manuf (2023). https://doi.org/10.1007/s12008-023-01291-y
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DOI: https://doi.org/10.1007/s12008-023-01291-y