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Deep scaled conjugate gradient algorithm for forecasting of Turmeric yield in Telangana. Journal of Emerging Technologies and Innovative Research

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Title Deep scaled conjugate gradient algorithm for forecasting of Turmeric yield in Telangana. Journal of Emerging Technologies and Innovative Research
Not Available
 
Creator Md. Atheeq Sultan Ghori
M.Balakrishnan
 
Subject Deep Neural Networks.
 
Description Not Available
Traditional crop grown in India is turmeric which is most sacred spice of Indian market as well
as in the international market. India is the world’s major producer and exporter of turmeric which
contributes more than 51 per cent of the global market. The total area under farming and production of
turmeric has a rising trend in the country. To help the stake holders and the farmers by accurate forecasting
using an efficient method, traditionally the linear methods like statistical analysis and to overcome the
drawbacks of the linear methods the non linear methods line Artificial Neural Network methods are used
further more to get more accurate forecasting of yield here the Deep Neural Network i.e., Deep Scaled
Conjugate Gradient algorithm (with two hidden layers) is used for more accuracy.
Not Available
 
Date 2024-01-04T10:04:43Z
2024-01-04T10:04:43Z
2018-09-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/81155
 
Language English
 
Relation Not Available;
 
Publisher Not Available