Vision Based Detection of Mealybug Infection in Custard Apple Using Machine Learning-Reference-Cited by-同舟云学术

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Vision Based Detection of Mealybug Infection in Custard Apple Using Machine Learning

Published:2023-06-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)
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Author:

Shilaskar Swati¹,Bannore Pratham¹,Badhe Tejas¹,Bari Nayan¹,Bhatlawande Shripad¹

Affiliation:

1. Vishwakarma Institute of Technology,Electronics and Telecommunication Engineering,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10201653/10201654/10201685.pdf?arnumber=10201685

Reference23 articles.

1. Pest disease detection of Brassica Chinensis in wide scenes via machine vision: method and deployment;zhuang;Journal of Plant Diseases and Protection,2022

2. Plant diseases and pests detection based on deep learning: a review;jun;Plant Methods,2021

3. Machine Algorithm-Based Web Prototype for Crop Pest Detection;columba-guanoluisa;XV Multidisciplinary International Congress on Science and Technology,2021

4. Automatic monitoring of flying vegetable insect pests using an RGB camera and YOLO-SIP detector;qingwen;Precision Agriculture,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A High Accuracy Deep Learning and Iot Network for Pest Detection Using Analysis of The Pest Sound in Large Agriculture Area;2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT);2023-11-23

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