Current Proceedings on Technology

Current Proceedings on Technology

Developing a Rule-Based Data Clustering Algorithm for Diagnosing of Wheat Pest

Yazarlar: Asgarali Bouyer, Mansour Jalali, Ali Bouyer, Adel Rezaei

Cilt 3 , Sayı - , 2013 , Sayfalar -

Konular:-

Anahtar Kelimeler:Wheat pest,Data mining,Clustering,Sunn pest,Rough set theory,Self-organizing map

Özet: Wheat is the main food crop in Iran. There are many reasons that decrease the wheat production. Wheat pests are the main problem that affects wheat production. There are many different insects that attack wheat. In this research, we have concentrated on sunn pest (Eurygaster integriceps) and stripe rust as pervasive pests in the studied regions. This paper proposes a rule-based clustering algorithm to extract useful rules to predict the possible infections by the wheat pests and control them. We have used the limited data sets in three state of Iran (east Azerbaijan, west Azerbaijan, and Ardabil). The evaluation of proposed algorithm on our gathered data reveals more accurate compared with the crisp clustering methods and reduces the errors.

ATIFLAR
Atıf Yapan Eserler
Henüz Atıf Yapılmamıştır
KAYNAK GÖSTER
BibTex
KOPYALA
@article{2013, title={Developing a Rule-Based Data Clustering Algorithm for Diagnosing of Wheat Pest}, volume={3}, number={0}, publisher={Current Proceedings on Technology }, author={Asgarali Bouyer, Mansour Jalali, Ali Bouyer, Adel Rezaei}, year={2013} }
APA
KOPYALA
Asgarali Bouyer, Mansour Jalali, Ali Bouyer, Adel Rezaei. (2013). Developing a Rule-Based Data Clustering Algorithm for Diagnosing of Wheat Pest (Vol. 3). Vol. 3. Current Proceedings on Technology .
MLA
KOPYALA
Asgarali Bouyer, Mansour Jalali, Ali Bouyer, Adel Rezaei. Developing a Rule-Based Data Clustering Algorithm for Diagnosing of Wheat Pest. no. 0, Current Proceedings on Technology , 2013.
Atıf Görüntüle
PDF Görüntüle
Kaynak Görüntüle
Paylaş
Dergi Bilgileri