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Integrating Machine Learning Models for Linear and Exponential Regression to Predict Wheat Area, Productivity and Population

Integrating Machine Learning Models for Linear and Exponential Regression to Predict Wheat Area, Productivity and Population

Muhammad Islam1,4*, Farrukh Shehzad1, Muhammad Omar2, Abdul Qayyum3 and Rabia Siddiqui4

1Department of Statistics, The Islamia University of Bahawalpur, Punjab, Pakistan; 2Department of Computer Science, The Islamia University of Bahawalpur, Pakistan; 3Director of Agriculture, Crop Reporting Service, Government of the Punjab, Pakistan; 4Crop Reporting Service, Government of the Punjab, Pakistan. 

 
*Correspondence | Muhammad Islam, Department of Statistics, The Islamia University of Bahawalpur, Punjab, Pakistan; Email: mislam6667@gmail.com 

Figure 1:

Machine learning algorithms flowchart.

Figure 2:

Learning curves for wheat area.

Figure 3:

Learning curves for wheat yield.

Figure 4:

Learning curves for population.

Equation 1
Equation 2
Equation 3
Equation 4
Figure 5:

Gap analysis for wheat area, yield and population explosion.

Pakistan Journal of Zoology

October

Vol. 54, Iss. 5, Pages 2003-2500

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