Artificial Neural Network Modeling for Investigation on the Effect of Deficit Irrigation and Nitrogen Levels on Yield and Quality of Hay Remaining After Seed Harvest of Sorghum Sudangrass Hybrid-Reference-Cited by-同舟云学术

Artificial Neural Network Modeling for Investigation on the Effect of Deficit Irrigation and Nitrogen Levels on Yield and Quality of Hay Remaining After Seed Harvest of Sorghum Sudangrass Hybrid

Published:2024-06-30 Issue:17 Volume:55 Page:2565-2577
ISSN:0010-3624
Container-title:Communications in Soil Science and Plant Analysis
language:en
Short-container-title:Communications in Soil Science and Plant Analysis

Author:

Karaer Murat¹,Gülümser Erdem²,Kardeş Yusuf Murat²,Gültaş Hüseyin Tevfik¹,Mut Hanife²,Arslan Oğuz³

Affiliation:

1. Department of Biosystem Engineering, Faculty of Agriculture and Natural Science, Bilecik Şeyh Edebali University, Bilecik, Turkey

2. Department of Field Crops, Faculty of Agriculture and Natural Science, Bilecik Şeyh Edebali University, Bilecik, Turkey

3. Department of Mechanical Engineering, Engineering Faculty, Bilecik Şeyh Edebali University, Bilecik, Turkey

Funder

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00103624.2024.2369201

Reference20 articles.

1. Optimization of district heating system aided by geothermal heat pump: A novel multistage with multilevel ANN modelling

2. Hybrid modeling for the multi-criteria decision making of energy systems: An application for geothermal district heating system

3. Power generation from medium temperature geothermal resources: ANN-based optimization of Kalina cycle system-34

4. ANN-based Determination of Optimum Working Conditions of Residential Combustors with Respect to Optimum Insulation

5. Influence of different drip irrigation methods and irrigation levels on sweet sorghum;Aydinsakir K.;Feb Fresenıus Envıronmental Bulletın,2021

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