Pest detection and identification using Optimised Neural Network Techniques

Abstract

Plant pest detection and identification is a major challenge in the field of agriculture since detection and classification is much more difficult than common object detection because of the apparent differences between pest species. To fight the invasion by the pest, early diagnosis of pest is requiring to enhance the production crops and to reduce the economic loss. Different algorithms introduced to detect the different types of pests. Such techniques are not efficient for all the types of pests. To overcome the above said problems, this paper deals with pest detection and identification with
Optimized Neural Networks.We can detect and identify the pests with Video or Image processing techniques to reduce the use of pesticides. Detection of pest includes video or Image collection then applying various pre-processing techniques to enhance the image, followed by feature extraction and classification to detect and identify the pest. However, each approach has its own limitations. This paper presents a Video and Image Processing approaches to detect and identify the pest with
Optimized Neural Network.