Grape leaf disease detection based on attention mechanisms

نویسندگان

چکیده

Prevention and control of grape diseases is the key measure to ensure yield. In order improve precision leaf disease detection, in this study, Squeeze-and-Excitation Networks (SE), Efficient Channel Attention (ECA), Convolutional Block Module (CBAM) attention mechanisms were introduced into Faster Region-based Neural (R-CNN), YOLOx, single shot multibox detector (SSD), enhance important features weaken unrelated real-time performance model improving its detection precision. The study showed that R-CNN, SSD models based on different effectively enhanced operation speed by slightly enhancing parameters. Optimal among three types selected for comparison, results R-CNN+SE had lower precision, YOLOx+ECA required least parameters with highest SSD+SE optimal relatively high This solved problem difficulty provided a reference analysis symptoms automated agricultural production. Keywords: SSD, mechanism DOI: 10.25165/j.ijabe.20221505.7548 Citation: Guo W J, Feng Q, Li X Z, Yang S, J Q. Grape mechanisms. Int Agric & Biol Eng, 2022; 15(5): 205–212.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Vision Based Plant Leaf Disease Detection on The Color Segmentation through Fire Bird V Robot

In today’s world life the use of robot is going on increasing .Robot can able to carry work efficiently and effectively that man can do. In this paper one such application of robo can do is leaf diseases Detection. In this paper we review the need of simple plant leaves diseases detection system. that would facilitate advancements in agriculture through by using the Firebird V Robo up to the ra...

متن کامل

Agricultural Plant Leaf Disease Detection and Diagnosis Using Image Processing Based on Morphological Feature Extraction

Leaf spots can be indicative of crop diseases, where leaf batches (spots) are usually examined and subjected to expert opinion. In our proposed system, we are going to develop an integrated image processing system to help automated inspection of these leaf batches and helps identify the disease type. Conventional Expert systems mainly those which used to diagnose the disease in agriculture doma...

متن کامل

A New Method for Soybean Leaf Disease Detection Based on Modified Salient Regions

Soybean is the main food crop and an important economical crop of the world. Proper disease control measures must be undertaken to minimize losses. Techniques of machine vision and image processing were applied mostly to plant protection in recent years. Disease detection and segmentation are very important, but the diseases of soybean are complex in real environment and traditional segmentatio...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Agricultural and Biological Engineering

سال: 2022

ISSN: ['1934-6352', '1934-6344']

DOI: https://doi.org/10.25165/j.ijabe.20221505.7548