Optimal cropping pattern based on short-term streamflow forecasts to improve agricultural economic benefits and crop productivity under uncertainty conditions-Reference-Cited by-同舟云学术

Optimal cropping pattern based on short-term streamflow forecasts to improve agricultural economic benefits and crop productivity under uncertainty conditions

Published:2023-01-11 Issue:2 Volume:68 Page:246-260
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Talukdar Gaurav¹^ORCID,Bhattacharjya Rajib Kumar¹,Sarma Arup Kumar¹

Affiliation:

1. Department of Civil Engineering, Indian Institute of Technology, Guwahati, India

Funder

preparation of this manuscript

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2022.2151914

Reference31 articles.

1. Application of artificial neural network coupled with genetic algorithm and simulated annealing to solve groundwater inflow problem to an advancing open pit mine

2. Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models

3. Climate, stream flow prediction and water management in northeast Brazil: societal trends and forecast value

4. Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review

5. Hybrid models to improve the monthly river flow prediction: Integrating artificial intelligence and non-linear time series models

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