Crop2Cloud platform: Real-time data integration for agricultural water monitoring
Efficient water management is vital for sustainable agriculture, yet integrating real-time data for precise irrigation remains a challenge. This study designed the Crop2Cloud (C2C) platform, a system that leverages advanced sensors using Internet of Things (IoT), edge and cloud computing techniques,...
Saved in:
| Main Authors: | Bryan Nsoh, Abia Katimbo, Kendall C. DeJonge, Weizhen Liang, Hongzhi Guo, Yufeng Ge, Derek M. Heeren, Yeyin Shi, Xin Qiao, Daran R. Rudnick, Hope Njuki Nakabuye, Birru Girma, Isa Kabenge, Joshua Wanyama |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525003983 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review
by: Bryan Nsoh, et al.
Published: (2024-11-01) -
Processing of Scheduling Problems in the Job Shop Using Fuzzy Logic
by: Baydaa Bhnam
Published: (2010-06-01) -
Soil Sharing and Equipment Operations Through Digitalization of Large-Scale Earthworks
by: Dongwook Kim
Published: (2024-12-01) -
Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environment
by: SONG Yao, et al.
Published: (2025-05-01) -
Scheduling Optimization of Sugarcane Harvest Using Simulated Annealing Algorithm
by: Eka Nur Afifah, et al.
Published: (2018-11-01)