WSN Prototype for African Oil Palm Bud Rot Monitoring
| Autor: | Miguel Piamonte, Tito Raul Vargas, David Rivas, Monica Huerta, R. Clotet, John Padilla |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Abiotic component
Engineering biology Food industry Agroforestry business.industry 010401 analytical chemistry Sowing 020206 networking & telecommunications 02 engineering and technology Elaeis guineensis biology.organism_classification 01 natural sciences 0104 chemical sciences Crop Horticulture Biofuel 0202 electrical engineering electronic engineering information engineering Palm oil business Palm |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319701868 |
| DOI: | 10.1007/978-3-319-70187-5_13 |
| Popis: | The oil palm (Elaeis guineensis) is the most productive oleaginous on the planet. The world’s largest producers of oil palm are located in Asia, Colombia is the fourth largest producer in the world and the first in America. In recent years, the sowing of oil palm has taken a great importance in food industry and biofuel production. Bud rot is among the factors that are most affecting this type of crop, generating to palm farmers large economic losses and the country’s social problems due to unemployment. Early detection of abiotic factors that may trigger bud rot is one of the strategies that would allow palm farmers to minimize the impact on the crops. In this research, a WSN was developed to acquire, process and transmit in real time to a server acquired data as: pH, humidity, temperature and luminosity. |
| Databáze: | OpenAIRE |
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