3Stored Grain Pest Identification Using an Unmanned Aerial Vehicle (UAV)-Assisted Pest Detection Model
Kalyan Kumar Jena1,2,3*, Sasmita Mishra2, Sarojananda Mishra2 and Sourav Kumar Bhoi3
1 Utkal University, Bhubaneswar, India
2 Department of Computer Science Engineering and Applications, Indira Gandhi Institute of Technology, Sarang, India
3 Department of Computer Science and Engineering, Parala Maharaja Engineering College, Berhampur, India
Abstract
Detecting pests in stored grain (SG) accurately is a major issue in the current scenario. It is very much essential to monitor the SG in order to take preventive measures to cease the further growth of pests in the SG. This can be done by capturing the images of SG with the help of UAVs, high-definition drones, cameras, sensors, and so on. Many methods have been introduced to detect the pests in the SG. However, no method is fully efficient in each and every situation. In this chapter, a UAV-assisted pest detection model is proposed in order to track the pests in the SG. This proposed model consists of four phases, such as data acquisition, edge detection (ED), feature extraction, and pest identification. In this model, we have only focused on the ED part by analyzing the data (pest in the SG images). Many standard ED (SED) methods, such as Sobel, Prewitt, Roberts, Morphological, Laplacian of Gaussian (LoG), Canny, are used to track the shape, location, and quantity of pests in SG. The implementation of the methods are performed ...
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