"Optimized binning technique in decision tree model for predicting the Helicoverpa armigera (H�bner) incidence on cotton"

Author:

PRATHEEPA M.,CRUZ ANTONY J.,BALLAL CHANDISH R.,BHEEMANNA H., , , ,

Publisher

Informatics Publishing Limited

Subject

Insect Science,Agronomy and Crop Science,Applied Microbiology and Biotechnology

Reference9 articles.

1. Dhaliwal GS, Arora R. 1996. Integrated pest management: Achievements and Challenges, pp. 308�355. In: Dhaliwal GS, Arora R. (Eds). Principles of Insect Pest Management, NATIC, India.

2. George HJ, Ron K, Karl P. 1994. Irrelevant features and the subset selection problem. In: William W Cohen and Haym Hirsh (Eds.) Machine Learning: Proceedings of the Eleventh International Conference. 121-129, Morgan Kaufmann Publishers, San Francisco, CA.

3. Gupta GK. 2006. Classification. In: Introduction to Data Mining with Case Studies, Prentice-Hall of India, 106� 136. https://doi.org/10.1016/B978-044451636-7/50013-9

4. The distribution and movement of cotton bollworm, Helicoverpa armigera H�bner (Lepidoptera: Noctuidae) larvae on cotton.;Leonardo T, Miriam EP.;Philippine J Sci,2002

5. A decision tree analysis for predicting the occurrence of the pest, Helicoverpa armigera and its natural enemies on cotton based on economic threshold level.;Pratheepa M, Meena K, Subramaniam KR, Venugopalan R, Bheemanna H.;Curr Sci.,2011

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