Monitoring system for agronomic variables based in WSN technology on cassava crops
| Autor: | Harold Combita-Niño, Francisco J. Estévez, Roberto Cesar Morales Ortega, Emiro De-la-Hoz-Franco, Gabriel Piñeres-Espitia, José Caicedo-Ortiz, Alejandro Cama-Pinto |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Routing protocol
Computer science Soil moisture sensor Agricultural engineering Horticulture Contiki 01 natural sciences Client–server model Packet loss Web application Network performance 6LoWPAN business.industry 010401 analytical chemistry Forestry 04 agricultural and veterinary sciences WSN Soil measurement Wireless sensor networks 0104 chemical sciences Computer Science Applications Software deployment 040103 agronomy & agriculture 0401 agriculture forestry and fisheries business Agronomy and Crop Science Wireless sensor network |
| Zdroj: | REDICUC-Repositorio CUC Corporación Universidad de la Costa instacron:Corporación Universidad de la Costa |
| ISSN: | 0168-1699 |
| DOI: | 10.1016/j.compag.2018.01.004 |
| Popis: | Agriculture, and natural resources associated to its development like water, soils and forests, have a relevant role in the future of countries and environmental conservation. The optimization of these resources is made with the implementation of technological strategies and tools that make it possible. In this sense, we developed a monitoring prototype for agronomic variables in cassava crops (Manihot Esculenta Crantz) in the Atlantico department (Colombia) based in WSN using Z1 motes as hardware platform and the temperature and soil moisture sensor SHT11. The operating system used was Contiki, and the routing protocol was RPL. The Network Performance Metrics evaluated were packet loss, RSSI (Received Signal Strength Indicator), LQI (Link Quality Indicator) and network convergence time. Then, a deployment model using Schlafli notation to determine the location and number of nodes, also we calculated the coverage range of the nodes to keep network uniformity. With these calculations, we obtained the linkage budgets between specks, and results were validated with RadioMobile software. Then, test fields were made in a cassava crop located in the city of Manati, Atlantico. Finally, with the help of server client architecture XAMPP, all data was stored and visualized through SIMCA (Agricultural Crop Information and Monitoring System), a web application developed by authors. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect