Cargando…
A Methodology Based on Machine Learning and Soft Computing to Design More Sustainable Agriculture Systems
Advances in new technologies are allowing any field of real life to benefit from using these ones. Among of them, we can highlight the IoT ecosystem making available large amounts of information, cloud computing allowing large computational capacities, and Machine Learning techniques together with t...
Autores principales: | Cadenas, Jose M., Garrido, M. Carmen, Martínez-España, Raquel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056061/ https://www.ncbi.nlm.nih.gov/pubmed/36991748 http://dx.doi.org/10.3390/s23063038 |
Ejemplares similares
-
Soft computing in machine learning
por: Rhee, Sang-Yong, et al.
Publicado: (2014) -
To become more sustainable organic agriculture needs genome editing technology
por: Fernandes, Patricia Machado Bueno, et al.
Publicado: (2022) -
Immersive Learning Design for Technology Education: A Soft Systems Methodology
por: Wu, C. H., et al.
Publicado: (2021) -
Strategies for feeding the world more sustainably with organic agriculture
por: Muller, Adrian, et al.
Publicado: (2017) -
Evaluation of Nitrate Soil Probes for a More Sustainable Agriculture
por: Bellosta-Diest, Amelia, et al.
Publicado: (2022)