Application of WNN-PSO model in drought prediction at crop growth stages: A case study of spring maize in semi-arid regions of northern China-Reference-Cited by-同舟云学术

Application of WNN-PSO model in drought prediction at crop growth stages: A case study of spring maize in semi-arid regions of northern China

Published:2022-08 Issue: Volume:199 Page:107155
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Xiujia Cao,Guanghua Yin,Jian Gu,Ningning Ma,Zihao Wang

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

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4. Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support vector machine (SVM);Azarmdel;Postharvest Biol. Technol.,2020

5. Development of category-based scoring support vector regression (CBS-SVR) for drought prediction;Bazrkar;J. Hydroinf.,2022

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