IEEE Style Citation: Rajesh Kumar Sharma, Mayank Rajput, Rahul Sharma, “Drought Forecasting, using Artificial Neural Network (ANN) and Predict Values of Drought Condition Derived using Enhanced Vegetation Index (EVI) Data,” International Journal of Computer Sciences and Engineering, Vol.11, Issue.1, pp.14-16, 2023.
MLA Style Citation: Rajesh Kumar Sharma, Mayank Rajput, Rahul Sharma "Drought Forecasting, using Artificial Neural Network (ANN) and Predict Values of Drought Condition Derived using Enhanced Vegetation Index (EVI) Data." International Journal of Computer Sciences and Engineering 11.1 (2023): 14-16.
APA Style Citation: Rajesh Kumar Sharma, Mayank Rajput, Rahul Sharma, (2023). Drought Forecasting, using Artificial Neural Network (ANN) and Predict Values of Drought Condition Derived using Enhanced Vegetation Index (EVI) Data. International Journal of Computer Sciences and Engineering, 11(1), 14-16.
BibTex Style Citation:
@article{Sharma_2023,
author = {Rajesh Kumar Sharma, Mayank Rajput, Rahul Sharma},
title = {Drought Forecasting, using Artificial Neural Network (ANN) and Predict Values of Drought Condition Derived using Enhanced Vegetation Index (EVI) Data},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2023},
volume = {11},
Issue = {1},
month = {1},
year = {2023},
issn = {2347-2693},
pages = {14-16},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5652},
doi = {https://doi.org/10.26438/ijcse/v11i1.1416}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v11i1.1416}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5652
TI - Drought Forecasting, using Artificial Neural Network (ANN) and Predict Values of Drought Condition Derived using Enhanced Vegetation Index (EVI) Data
T2 - International Journal of Computer Sciences and Engineering
AU - Rajesh Kumar Sharma, Mayank Rajput, Rahul Sharma
PY - 2023
DA - 2023/01/31
PB - IJCSE, Indore, INDIA
SP - 14-16
IS - 1
VL - 11
SN - 2347-2693
ER -
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Abstract
This paper focuses on drought forecasting, using Artificial Neural Network (ANN) and predicts the values of drought condition derived using Remote Sensing (EVI) data of Indore (M.P). We have used the EVI data as input data of ANN model for drought forecasting, and determine Standard Enhanced Vegetation Index (SEVI). Artificial Neural networks operate on the principle of learning from a training set. There is a large variety of neural network models and learning procedures. Two classes of neural networks that are usually used for prediction applications are feed-forward networks and recurrent networks. They often train both of these networks using back-propagation algorithm.
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