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Este proyecto se centra en el desarrollo de una máquina de siega autónoma, conocida como Cowbot, para el control de malas hierbas en pasturas, utilizando energía solar. Se fueron realizados ensayos
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The ML 2018 project abstract is a summarized documentation that outlines the key aspects, objectives, and methodologies of a particular project relating to machine learning initiated in 2018.
Researchers, developers, or organizations involved in machine learning projects that commenced or were reported in the year 2018 are required to file the ML 2018 project abstract.
To fill out the ML 2018 project abstract, one should provide concise descriptions of the project title, objectives, methodologies used, results obtained, and any conclusions or future work suggested, adhering to any specified formatting guidelines.
The purpose of the ML 2018 project abstract is to provide a brief overview of the project, enabling readers to quickly understand its goals, significance, and findings, and to facilitate further inquiry or research.
The ML 2018 project abstract must report information including the project title, a summary of objectives, methodologies, key findings, and recommendations or future directions related to the project.
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