The application of image processing in the identification of pests of agricultural products

Nadia Saadati¹ Razieh Pourdarbani² Sajjad Sabzi³ Majid Dadkhah Qaleh Joogh⁴

1) Master s student, Biosystem Engineering, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University, email:
2) Associate Professor, Department of Biosystem Engineering, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University
3) Ph.D., Department of Biosystem Engineering, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University
4) Master of Design and Construction, Mohaghegh Ardabili University, Ardabil, Iran

IOI Code : XGKE-KFGKF
Publication : Green Management of Wastes and Biotechnology(gmbtuma.ir)
Abstract :
    Agriculture is a major part of various industries and is directly related to our table. There are many events that happen suddenly and can affect agriculture. One of these events that causes a lot of damage is the attack of pests on agricultural lands and gardens. There are different types of pests and they involve most of the products, which ultimately cause a lot of economic losses. There are many methods for identifying pests and classifying them. With the increasing progress of science and technology, new techniques have been used for early and non-destructive identification of various types of agricultural pests. One of these techniques is image processing, which has been mainly associated with deep learning in recent years. In this article, we intend to discuss the necessity of using quick and non-destructive techniques for identifying agricultural pests and while introducing some of its applications, we will also introduce the best method of using image processing.

Keywords : image processing agricultural pests hyperspectral imaging