The Future of Vineyard Irrigation: AI-Driven Insights from IoT Data
Accurate irrigation volume prediction is crucial for sustainable agriculture. This study enhances precision irrigation by integrating diverse datasets, including historical irrigation records, soil moisture, and climatic factors, collected from a small-scale commercial estate vineyard in southwester...
Saved in:
| Main Authors: | Simona Stojanova, Mojca Volk, Gregor Balkovec, Andrej Kos, Emilija Stojmenova Duh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/12/3658 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
IoT System with ESP32 for Smart Drip Irrigation and Climate Monitoring in Greenhouses
by: Joseph J. Correa-Quiroz, et al.
Published: (2025-06-01) -
Smart Agriculture; Farm Irrigation System Using IoT
by: Amera Badran, et al.
Published: (2020-12-01) -
Climate-resilient water management: Leveraging IoT and AI for sustainable agriculture
by: Syed Muhammad Zaigham Abbas Naqvi, et al.
Published: (2025-06-01) -
Artificial intelligence and IoT for water saving in agriculture: A systematic review
by: Lucio Colizzi, et al.
Published: (2025-08-01) -
LSTM-IOT (LSTM-based IoT) untuk Mengatasi Kehilangan Data Akibat Kegagalan Koneksi
by: Yosia Adi Susetyo, et al.
Published: (2025-02-01)