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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(7): 102-112
DOI: https://doi.org/10.20546/ijcmas.2019.807.014


Debaditya Gupta, et al
Debaditya Gupta, Alivia Chowdhury and Md. Shamimur Rahaman
Debaditya Gupta*, Alivia Chowdhury and Md. Shamimur Rahaman
*Corresponding author
Abstract:

Soil temperature plays a key role in crop water requirement and crop yield. The accurate field estimation of soil temperature is difficult and expensive. Therefore the present study focuses on the estimation of soil temperature in Mohanpur using Artificial Neural Network with input weather data such as maximum temperature, minimum temperature, wind speed, sunshine hours and the results shows that a good correlation exists between the maximum and minimum temperature with the soil temperature. The results statistics shows that with all the given input data condition model shows good results (R2 = 0.95, RMSE = 1.54, MAE = 1.21) and also the model behaves well for sparse data condition i.e. only when maximum and minimum temperatures are available results (R2 = 0.91, RMSE = 1.86, MAE = 1.46).


Keywords: Soil temperature, Data condition, Crop
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How to cite this article:

Debaditya Gupta, Alivia Chowdhury and Md. Shamimur Rahaman. 2019. Soil Temperature Prediction under Limited Data Condition.Int.J.Curr.Microbiol.App.Sci. 8(7): 102-112. doi: https://doi.org/10.20546/ijcmas.2019.807.014