Development of an intelligent prediction tool for rice yield based on machine learning techniques
Intelligent systems based on machine learning techniques. such as classification. clustering. are gaining Wide spread popularity in real world applications. This paper presents work on developing a software system for predicting rice yield from climate and plantation data. In this work. the main foc...
Main Authors: | Md. Sap, Mohd. Noor, Awan, A. M. |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2006
|
Subjects: | |
Online Access: | http://eprints.utm.my/8203/1/MohdNoorMd_DevelopmentofanIntelligentPredictionToolforRice2006.pdf |
Similar Items
-
An intelligent system based on kernel methods for crop yield prediction
by: Majid Awan, A., et al.
Published: (2006) -
Development of an intelligent system using Kernel-based learning methods for predicting oil-palm yield.
by: Md. Sap, Mohd. Noor, et al.
Published: (2005) -
A framework for predicting oil-palm yield from climate data
by: Awan, A. Majid, et al.
Published: (2006) -
Rice yield prediction - a comparison between enhanced back propagation learning algorithms
by: Saad, Puteh, et al.
Published: (2004) -
Stock market predicton using support vector machines
by: Md. Sap, Mohd. Noor, et al.
Published: (2005)