Yield Prediction Using Artificial Neural Networks

被引：0
|
作者：
Baral, Seshadri [1 ]
Tripathy, Asis Kumar [2 ]
Bijayasingh, Pritiranjan [3 ]
机构：
[1] Int Inst Informat Technol, Dept Comp Sci & Engg, Bhubaneswar, Odisha, India
[2] NM Inst Engn & Technol, Dept Comp Sci & Engn, Bhubaneswar, Odisha, India
[3] Balasore Coll Engn & Technol, Dept Comp Sci & Engn, Balasore, Odisha, India
来源：
COMPUTER NETWORKS AND INFORMATION TECHNOLOGIES | 2011年 / 142卷
关键词：
ANN; PSO; Yield Prediction of Paddy; Models for yield prediction;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Artificial Neural Network (ANN's) technology with PSO as optimization technique was used for the approximation and prediction of paddy yield at 3 different districts in different climatic zones based on 10 years of historical data sets of yields of paddy,daily temperature(mean and maximum) and precipitation(rainfall).
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页码：315 / +
页数：2
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