Growth prediction of Alternanthera philoxeroides under salt stress by application of artificial neural networking-Reference-Cited by-同舟云学术

Growth prediction of Alternanthera philoxeroides under salt stress by application of artificial neural networking

Published:2020-10-19 Issue: Volume: Page:1-7
ISSN:1126-3504
Container-title:Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology
language:en
Short-container-title:Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology

Author:

Javed Qaiser¹,Azeem Ahmad¹,Sun Jianfan¹,Ullah Ikram²,Du Daolin¹²,Imran Muhammad Ali³,Nawaz Muhammad Imran¹,Chattha Hassan T.⁴

Affiliation:

1. School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, China

2. Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, Institute of Agricultural Engineering, Jiangsu University, Zhenjiang, China

3. Key Laboratory of Water resources & Environmental Engineering, China University of Geosciences, Beijing, China

4. Department of Electrical Engineering, Faculty of Engineering, Islamic University of Madinah, AlMadinah, Kingdom of Saudi Arabia

Funder

the National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Plant Science,Ecology, Evolution, Behavior and Systematics

Link

https://www.tandfonline.com/doi/pdf/10.1080/11263504.2020.1832603

Reference49 articles.

1. Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)