Smart Predictor for Spontaneous Combustion in Cotton Storages Using Wireless Sensor Network and Machine Learning
The splendid technological inventions supersede many traditional agricultural monitoring systems. In the last decade, a variety of new techniques and tools are proposed to monitor storage areas, which provide more safe and secure storage for different crops. The term storage area monitoring is suppo...
Saved in:
Main Authors: | Umar Farooq Shafi, Waheed Anwar, Imran Sarwar Bajwa, Hina Sattar, Iqra Yaqoob, Aqsa Mahmood, Shabana Ramzan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | http://dx.doi.org/10.1155/2024/5551759 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Intelligent and Smart Irrigation System Using Edge Computing and IoT
by: M. Safdar Munir, et al.
Published: (2021-01-01) -
Study on the Effect of Polysulfide Content on the Micromorphology and Spontaneous Combustion Characteristics of Coal
by: Hai-Fei Yao
Published: (2021-01-01) -
Study on spontaneous combustion characteristics of coal under thermo mechanical coupling
by: Ji Wu, et al.
Published: (2024-12-01) -
IoT Network Anomaly Detection in Smart Homes Using Machine Learning
by: Nadeem Sarwar, et al.
Published: (2023-01-01) -
Prediction model for spontaneous combustion temperature of coal based on PSO-XGBoost algorithm
by: Hui Zhuo, et al.
Published: (2025-01-01)