Sistema de monitorización de variables agrícolas basado en la tecnología WSN para el cultivo de la yuca
Agriculture and natural resources associated to it, like water, soil and forest carry out an important role in country’s future and environment conservation, thus, the optimization of these resources through implementation strategies and technological gadgets make this possible (Perfetti, Balcázar,...
- Autores:
-
Caicedo Ortiz, Jose Gregorio
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2017
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/89
- Acceso en línea:
- http://hdl.handle.net/11323/89
https://repositorio.cuc.edu.co/
- Palabra clave:
- yuca
Agricultura de precisión
Redes inalámbricas de sensores
WSN
RPL
Z1
Zolertia
modelo de despliegue
- Rights
- openAccess
- License
- Atribución – No comercial – Compartir igual
| Summary: | Agriculture and natural resources associated to it, like water, soil and forest carry out an important role in country’s future and environment conservation, thus, the optimization of these resources through implementation strategies and technological gadgets make this possible (Perfetti, Balcázar, Hernández, & Leibovich, 2013). Different platforms, communication protocols and operative systems for motes were analyzed, focused on WSN (Wireless Sensor Network). Then, an agricultural monitoring prototype for yucca farming in Atlantico department was developed, based on Z1 Zolertia platform, programmed by Contiki language and working with RPL protocol (Routing Protocol for Low-Power and Lossy Networks). The motes integration, the operative system and protocol, were evaluated with packet losses performance metrics, RSSI (Received Signal Strength Indicator), LQI (Link Quality Indicator) and network convergence, showing a good performance at different distances. Later, a deployment model was made based on regular polygons, using the Schäfli (the number of nodes can be calculated avoiding randomness). Additionally, the node coverage range was calculated, obtaining the distance between them to keep the network uniformity as suggested in (Poe & Scmitt, 2009). Link Networks Budgets were made with the calculated distances and device specifications, using Radio Mobile software, to finally plant a deployment model. |
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