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Predicting the draught requirement of tillage implements in sandy clay loam soil using an artificial neural network

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Title Predicting the draught requirement of tillage implements in sandy clay loam soil using an artificial neural network
Not Available
 
Creator A.K. Roul
H. Raheman
M.S. Pansare
R. Machavaram
 
Subject ANN, Draft, Regression analysis, instrumentation, three point linkage
 
Description Not Available
A 5–9–1 artificial neural network (ANN) model, with a back propagation learning algorithm,
was developed to predict draught requirements of different tillage implements in a sandy
clay loam soil under varying operating and soil conditions. The input parameters of the
network were width of cut, depth of operation, speed of operation, soil moisture content
and soil bulk density. The output from the network was the draught requirement of the
individual tillage implement. The developed model predicted the draught requirement of
mouldboard plough, cultivator and disk harrow with an error < 6.5% when compared to the
measured draught values, whereas the American Society of Agricultural and Biological
Engineers (ASABE) equation predicted these draught values with an error > 30%. Such
encouraging results indicate that the developed ANN model for draught prediction could be
considered as an alternative and practical tool for predicting draught requirement of tillage
implements under the selected experimental conditions in sandy clay loam soils. Further
work is required to demonstrate the generalised value of this ANN in other soil conditions.
Not Available
 
Date 2021-10-14T09:09:38Z
2021-10-14T09:09:38Z
2009-01-01
 
Type Research Paper
 
Identifier 50
15375110
http://krishi.icar.gov.in/jspui/handle/123456789/65712
 
Language English
 
Relation Not Available;
 
Publisher Elsevier