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Pest Analysis

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The authors have proposed wavelet based image processing technique and neural network to develop a method of online identification of pest damage in fruit in orchards [11]. Three pests that are predominant in orchards were selected as the parameter for the research: the leaf-roller, codling moth, and apple leaf curling midge. Fast wavelet transform with distinct set of Doubenchies wavelet was used to extract the significant features. To get better the related images, the search is done in two stages. The first stage matches the images by likening the standard deviations for the three color components. In the second stage, the Euclidean distance between the coefficients of feature of an image selected in the first stage and those of the …show more content…

Differed attributes between the pest and its habitat are detected by using the correspondence filter to identify the plant pests by obtaining the correlation peak values for different datasets.

The cognition probability from the pest image is directly proportional to the height of the output signal and inversely proportional to the viewing angles, which further established that the recognition of plant pests is a function of their location and investigative angle. It is encouraging to note that the correspondence filter can achieve rotational invariance of pests up to angles of 360 degrees, which proves the effectiveness of the algorithm for the detection and recognition of plant pests.

In this method, the video is captured using pan tilt camera, converted video into frames and the frames are saved. The first two frames are considered and resized into (1280x720) because the original frame size is too large for sampling and resize up to 600x350 [19]. Converted these frames from RGB to gray frame and subtracted these two frames. Table 1.1 Review on different image and video processing techniques. Papers Parameter Technology Technique
Vincent Martin, Sabine Moisan [1],[3] White flies, aphids Image processing and neural learning Segmentation, classification, tracking.
Martin, M.Thonnat [2] White flies Image processing and neural networks Global Feature

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