Paddy Crop and Weed Discrimination: A Multiple Classifier System Approach

Algorithm 1

Algorithm for calculating weights of each class of each classifier.

(1)	Input
(2)	Train set-1 Train data set with class labels
(3)	Test-set Test data
(4)	k Number of classes
(5)	n Number of classifiers
(6)	Output
(7)	W[n][k] Weight of each class of each classifier
(8)	X_train, X_ ⟵ weight divide the Train set-1 into two sets in the ratio of 80 : 20
(9)	len ⟵ length of X_weight
(10)	for i 1 ⟵ to n do
(11)	Train Ci on X_train
(12)	Predict using Ci on X_weight
(13)	for j ⟵ 0 to k − 1 do
(14)	W[i][j] ⟵ (number of samples that belong to j class that were correctly classified by classifier Ci)/len
(15)	end for
(16)	end for