Machine learning based energy-efficient uav trajectory design for site-specific crop spraying

The use of unmanned aerial vehicles (UAVs) in agriculture is extending at a brisk rate due to their huge potential to address problems related to costs, time, productivity and climate change. Motivated by the necessity of leveraging technology to optimize agricultural practices, we propose a methodo...

Full description

Autores:
Acevedo Ramos, Jorge Alfredo
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2020
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/51533
Acceso en línea:
http://hdl.handle.net/1992/51533
Palabra clave:
Riego
Drones
Aprendizaje automático (Inteligencia artificial)
Ingeniería
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf