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

Algorithm 1

Proposed Transfer Learning 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: To use the pretrained models CNN networks to tackle the problem, the last three levels are eliminated from the deep networks and substituted with fully-connected layers, a SoftMax surface, and categorization output units.
	Stage 4: Using the newly created deep model the classification is performed.