Estado actual del aprendizaje automatizado aplicado al internet de las cosas para automatizar procesos agrícolas
In these latest years, technological advances have been accompanied by the evolution of machine learning which is a branch of artificial intelligence. Its application to different areas of knowledge and day to day lead important advances in the use of automation techniques...
| Autores Principales: | Ponte, Daniel, Espinosa, Asael, Gibeaux de González, Soizic, González, Carlos |
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| Formato: | Artículo |
| Idioma: | Español |
| Publicado: |
Universidad Autónoma de Chiriquí.
2023
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| Materias: | |
| Acceso en línea: |
http://jadimike.unachi.ac.pa/handle/123456789/721 |
| Sumario: |
In these latest years, technological advances have been accompanied by the evolution of machine learning which is a branch of artificial intelligence. Its application to different areas of knowledge and day to day lead important advances in the use of automation techniques in agriculture. These advances have created a new concept called “smart agriculture”. One of the main objectives of smart agriculture is to keep crops protected by soil studies and monitor the climate change mitigation. This article contributes with the agricultural sector to face the challenges of sustainable development with the implementation of emerging technologies, allowing the development of new products by applying automatic learning algorithms. |
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