Design of Intelligent Insect Monitoring System Using Deep Learning Techniques V.Ceronmani Sharmila 1 , Neeraj Chauhan 2 , Rajdeep Kumar 3 , Suraj Kumar Barwal 4 {csharmila@hindustanuniv.ac.in 1 , neerajchauhan098009@gmail.com 2 , rajdeepkumar1109199 9@gmail.com 3 , barnwalsk14@gmail.com 4 } 1-4 Hindustan Institute of Technology and Science, No.1, Rajiv Gandhi Salai, OMR, Chennai-603103 Abstract. The agriculture field is growing up its potential to better the demand of food and delivers healthy and nutritious foodstuff. This project presents an insect or pest detection and classification for the plant using machine learning. It’s a challenging part for the farmers to the crops which are acquiring defective and the degree or grade of excellence is also getting reduced day by day due to various pest or insect attacks. Earlier insect identification has been a big issue due to not well-skilled taxonomists to name the insects based on surface structure construction features accurately. Here, the proposed system will be a research tool for the study of early insects on the plants and leaves which will classify it using CNN and K-Means Clustering algorithm in machine learning. The detection analysis of insects was executed with shorter computational point in time for wang dataset using insect image Median Filter. The final classification results of accuracy were utilized to identify the pest and insects in the earliest period and increased the period to grow the harvest fertility and crop degree of excellence in the field of agriculture. Keywords: Insect or pest classification algorithm, Insect or pest detection algorithm, Machine Learning, CNN algorithm, K-Means Clustering algorithm. 1 Introduction Agriculture plays a vital role in everybody's life, as it is measured as the foundation of any country's economically system and come up with the growth of economically system development and determines the living criterion. The field of agriculture and processing food manufacture is a major sector between any countries. Growth of expanding is an important character for the sell abroad of good quality food production and agriculture. In progressing countries, the growth of economic earnings mainly depends on market demands and export supply chain earnings. Insect attack is one of the biggest issues in the agriculture field part that degrades the quality of crops. Pest, Germ, Insect and weeds created a heavy damage to the harvest and result has reduces the degree of excellence for the last part of products. It requires high care for the pest and insect attack on crops which make effects in the field of growth crops. The pest and insect is the main cause behind the crop quality downfall and reduces crop productivity. Therefore, the monitoring of crops and evaluating the loss from insects is essential for ensuring quality of crops and making safety in the area of agriculture [1]. The computer perception of the machine is used in monitoring of soil and crops, plant leaf disease detection, fruit scaling, pest and insect acknowledgment and detection. Nowadays, many I3CAC 2021, June 07-08, Chennai, India Copyright © 2021 EAI DOI 10.4108/eai.7-6-2021.2308788