A Comparative Analysis of Machine Learning Algorithms for Detection of Organic and Nonorganic Cotton Diseases

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Name of disease</td><td class="align_center">Area</td><td class="align_center">Perimeter</td><td class="align_center">Aspect ratio</td><td class="align_center">Sharpness</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Leaf blight</td><td class="align_center">98.00000</td><td class="align_center">0.7817</td><td class="align_center">1.55051</td><td class="align_center">490.11292</td></tr><tr><td class="align_left">Myrothecium</td><td class="align_center">71.00000</td><td class="align_center">1.6598</td><td class="align_center">1.00619</td><td class="align_center">194.20520</td></tr><tr><td class="align_left">Alternaria</td><td class="align_center">85.00000</td><td class="align_center">2.00000</td><td class="align_center">2.24798</td><td class="align_center">502.62412</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Shape features of the cotton leaf.</div>

Mathematical Problems in Engineering

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Table 2

Table 2: A Comparative Analysis of Machine Learning Algorithms for Detection of Organic and Nonorganic Cotton Diseases 