Optimization of Data-Driven Soil Temperature Forecast—The First Model in Bangladesh
Soil temperature patterns are of great importance for any agro-based economy like Bangladesh since they significantly affect biological, chemical, and physical processes that take place in the soil. Unfortunately, there have been no forecast studies on soil temperature in Bangladesh until now. In th...
Main Authors: | Lipon Chandra Das, Zhihua Zhang, M. James C. Crabbe |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/23/12616 |
Similar Items
-
High-Resolution Temperature Evolution Maps of Bangladesh via Data-Driven Learning
by: Yichen Wu, et al.
Published: (2024-03-01) -
Wind Turbine Bearing Temperature Forecasting Using a New Data-Driven Ensemble Approach
by: Guangxi Yan, et al.
Published: (2021-10-01) -
Optimization Hybrid of Multiple-Lag LSTM Networks for Meteorological Prediction
by: Lin Zhu, et al.
Published: (2023-11-01) -
Forecasting the incidence of dengue in Bangladesh—Application of time series model
by: Shabnam Naher, et al.
Published: (2022-07-01) -
Data-Driven Short-Term Load Forecasting for Multiple Locations: An Integrated Approach
by: Anik Baul, et al.
Published: (2024-01-01)