Self-Organizing Map Analysis on Peanut Yield and Agronomy Characteristics

Abstract : The model system between peanut yield and agronomy characteristics which is nonlinear, irreversible and dissipative. The objective in the study was the peanut cultivated in the different ecological regions in Shandong province, aimed to establish the new non-nonlinear model based on Self-Organizing Maps (SOM) to improve the cultivation information of peanut growth process. In the article, applying SOM network achieved the cluster between peanut yield and agronomy characteristics about 4 variables, involved in plant height, branches, full pods and peanut yield ratio. MATLAB 7 software is used to classify 60 samplings of peanut yield and agronomy characteristics. It is concluded that the SOM network can respond the complicated information classification among each peanut yield, during the analysis, the results also showed SOM method is the most suitable for peanut yield and characteristics classification, especially analysis of clusters on basis of peanut agronomy parameters, so the study can be applied on agronomy characteristics and peanut yield of the different ecological regions in Shandong province.
Type de document :
Communication dans un congrès
Daoliang Li; Yingyi Chen. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. Springer, IFIP Advances in Information and Communication Technology, AICT-392 (Part I), pp.94-100, 2013, Computer and Computing Technologies in Agriculture VI. 〈10.1007/978-3-642-36124-1_12〉
Liste complète des métadonnées

Littérature citée [13 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01348086
Contributeur : Hal Ifip <>
Soumis le : vendredi 22 juillet 2016 - 13:55:12
Dernière modification le : vendredi 22 juillet 2016 - 14:11:20
Document(s) archivé(s) le : dimanche 23 octobre 2016 - 12:11:48

Fichier

978-3-642-36124-1_12_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Yujian Yang, Mingchuan Ji. Self-Organizing Map Analysis on Peanut Yield and Agronomy Characteristics. Daoliang Li; Yingyi Chen. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. Springer, IFIP Advances in Information and Communication Technology, AICT-392 (Part I), pp.94-100, 2013, Computer and Computing Technologies in Agriculture VI. 〈10.1007/978-3-642-36124-1_12〉. 〈hal-01348086〉

Partager

Métriques

Consultations de la notice

70

Téléchargements de fichiers

76