[Retracted] Application of IoT-Based Drones in Precision Agriculture for Pest Control

Algorithm 2

Proposed Feature Extraction Algorithm.

	Stage 1: Data set of crops in the field is collected
	Stage 2: The data size is resized based on the deep network utilizing bilinear interpolation.
	Stage 3: By the use of a fully-connected layer of deep learning algorithm the features were extracted.
	Stage 4: Using the support vector and extreme learning machine the classification is performed.