Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India
Prediction of soil temperature (ST) at multiple depths is important for maintaining the physical, chemical, and biological activities in soil for various scientific aspects. The present study was conducted in a semi-arid region of Punjab to predict the daily ST at 5-cm (ST5), 15-cm (ST15), and 30-cm...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/103794/ http://dx.doi.org/10.1007/s11356-022-20837-3 |
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| Institution: | Universiti Teknologi Malaysia |