Efficient productivity prediction model based on edge data compression in smart farms
Amid escalating global farmland degradation alongside rising food demand. Smart farms are playing an increasingly vital role as a key approach to enhancing crop productivity. By integrating Internet of Things (IoT) devices with edge computing, smart farms significantly improve real-time data process...
Saved in:
| Main Authors: | Peng Jin, Wenshuang Du, Wenquan Jin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525004733 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Smart farm digital twin model based on edge-cloud architecture for tomato monitoring and detection
by: Wenshuang Du, et al.
Published: (2025-12-01) -
Trusted edge computing for smart healthcare
by: Shaoliang PENG, et al.
Published: (2020-06-01) -
Edge and Cloud Computing in Smart Cities
by: Maria Trigka, et al.
Published: (2025-03-01) -
Smart Internet of things aided by“terminal-edge-cloud” cooperation
by: Dapeng WU, et al.
Published: (2018-09-01) -
Task Offloading and Data Compression Collaboration Optimization for UAV Swarm-Enabled Mobile Edge Computing
by: Zhijuan Hu, et al.
Published: (2025-04-01)