Low-Complexity Microclimate Classification in Smart Greenhouses: A Fuzzy-Neural Approach
Maintaining optimal microclimatic conditions within greenhouses represents a significant challenge in modern agricultural contexts, where prediction systems play a crucial role in regulating temperature and humidity, thereby enabling timely interventions to prevent plant diseases or adverse growth c...
Saved in:
| Main Authors: | Cristian Bua, Francesco Fiorini, Michele Pagano, Davide Adami, Stefano Giordano |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/17/5/214 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Monitoring of Fungal Diversity and Microclimate in Nine Different Museum Depots
by: Katharina Derksen, et al.
Published: (2025-06-01) -
Microclimate in peach-tea ecosystems and its effect on labour's comfortableness
by: HUANG Shou-bo, et al.
Published: (2001-11-01) -
Decompositions of fuzzy *g-continuity
by: M.Vidhya Priyac, et al.
Published: (2015-05-01) -
Effect of periodic ventilation in a classroom on air quality and microclimate
by: D. S. Simonov, et al.
Published: (2025-03-01) -
Desiccated Microclimates for Heritage Metals: Refining Procedures for Use of Silica Gel
by: Johanna Thunberg, et al.
Published: (2025-06-01)