Identification of Crop Pests using Machine Learning Classifier System

K. Sree Vikas
2020 International Journal for Research in Applied Science and Engineering Technology  
Agriculture plays a key role in the development of human civilization. A lot of research has been done to protect crops. The important aspect of agriculture is pest management. When a farmer has best strategies to encounter pests and other diseases, their crop would be more productive. Pest management is difficult as it includes pest monitoring, pest identification requires much more than "see and spray" approach-use pesticides only when essential. Pest detection using multiple classifier
more » ... (MCS) is a systematic approach to find pests that combines a variety of image processing and machine learning concepts. This is the system which uses three classifiers. They are decision tree, Naïve-Bayesian, K-NN. Each classifier gives on output of which type the pest is. In the final, the voting method or the weighted average method is used for fusing the member classifiers outputs and the final label of the pest is given. MCS is used to increase the accuracy in identification of the pest.
doi:10.22214/ijraset.2020.5162 fatcat:yxqvh2zxxvci5mh57u5sxqhjui