Maestrías

Permanent URI for this community

http://10.64.0.55:4000/handle/123456789/4570

Browse

Browsing Maestrías by Subject "AGRICULTURA"

Now showing 1 - 3 of 3
  • Thumbnail Image
    tesis de maestría.listelement.badge
    Agricultura celular - disrupción en la alimentación: carne celular en Argentina y Latinoamérica
    (2020) Giampaoli, Sofía; Luzuriaga, Diego
    "La agricultura celular es un proceso de producción biotecnológico en el cual se utilizan microorganismos, en lugar de animales, para el desarrollo de bienes y productos aptos para el consumo humano. Tiene la potencialidad de aumentar eficiencias, mejorar la disponibilidad mundial de alimentos de alto valor nutricional y disminuir los requerimientos ambientales respecto a la producción tradicional. El objetivo de este trabajo es demostrar las hipótesis propuestas: Es posible intervenir para dinamizar el primer ecosistema de carne celular en Latinoamérica a partir de un emprendimiento tecnológico en Argentina. Es viable producir biomasa celular en Argentina a partir de un emprendimiento comercial que empuje la cadena de valor de la carne celular (...)."
  • Thumbnail Image
    tesis de maestría.listelement.badge
    Automation and optimization of agricultural soil tillage applying machine learning based on machine- and process sensor systems
    (2021) Kazenwadel, Benjamin; Geimer, Marcus; Stein, Alexander; Becker, Simon
    Climate change and cost pressure lead to new environmental and economic challenges that increase the demand for innovative control systems to automate and optimize agricultural tasks. Automating speed control during power-intensive soil tillage can increase eciency and sustainability and counteract the lack of qualied personnel in agriculture. A survey was carried out focused on tillage by cultivating to obtain an overview of the challenges farmers face during their work, including their target preferences. Based on the obtained requirements for tillage by cultivating, a system was developed automating working depth control by online Lidar plane detection to ensure tillage quality and establish a basis for good plant growth. Automated speed control is realized based on an online-parameterized draft force and traction model combined with the usage of a neural network for fuel rate prediction. The network is trained oine and adaptable to the individual preferences of the farms and varying implements. Thereby, the operator can choose and customize optimization objectives such as fuel eciency, performance, or total cost. During the evaluation, the control system was tested with various objectives against a human driver and was able to perform optimization on the individual objective. Furthermore, the transferability of the system was demonstrated with the usage of another implement.
  • Thumbnail Image
    tesis de maestría.listelement.badge
    Evaluación privada y social del cultivo de peras y manzanas en la provincia de Neuquén
    (2003) Aragón, Eduardo; Roura, Horacio
    "El estudio tiene como objetivo la evaluación de la producción de peras y manzanas en el Alto Valle del Río Negro, mas específicamente en la provincia de Neuquen. Se elige esta provincia por tener condiciones edafoclimáticas ideales para el desarrollo de este tipo de cultivos, que se complementan con una decidida asistencia por parte del gobierno provincial."