Submit or Track your Manuscript LOG-IN

Predicting Wheat Production in Pakistan by using an Artificial Neural Network Approach

Predicting Wheat Production in Pakistan by using an Artificial Neural Network Approach

Faheem Aslam1*, Aneel Salman1 and Inayatullah Jan2

1Department of Management Sciences, Comsats University, Park Road, Islamabad, Pakistan; 2Institute of Development Studies (IDS), The University of Agriculture, Peshawar, Khyber Pakhtunkhwa, Pakistan.


*Correspondence | Faheem Aslam, Department of Management Sciences, Comsats University, Park Road, Islamabad, Pakistan; Email: [email protected] 

Figure 1:

Annual wheat production growth rate in Pakistan from 1948 to 2018.

Figure 2:

Annual wheat production growth rate in Pakistan from 1948 to 2018.

Figure 3:

Neural network architecture.

Figure 4:

Neural network architecture (full model).

Figure 5:

Hyper parameter optimization for neuron selection (full model).

Figure 6:

Relative Importance Plot for Feature Selection.

Figure 7:

Neural network architecture (selected features).

Figure 8:

Hyper parameter optimization for neuron selection (selected features).

Figure 9:

Actual vs predicted wheat production from 2005 to 2018.

y

Sarhad Journal of Agriculture

September

Vol.40, Iss. 3, Pages 680-1101

Featuring

Click here for more

Subscribe Today

Receive free updates on new articles, opportunities and benefits


Subscribe Unsubscribe