Agro-vision IoT-enabled Crop Pest Recognition System based on VGG-16-Reference-Cited by-同舟云学术

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Agro-vision IoT-enabled Crop Pest Recognition System based on VGG-16

Published:2023-11-01 Issue: Volume:58 Page:1-5
ISSN:
Container-title:2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS)
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Author:

Udeogu Chigozie Uzochukwu¹,Nwakanma Cosmas Ifeanyi²,Ayoade Idowu Adetona³,Amadi Chimeremma Sandra⁴,Eze Udoka Felista⁴

Affiliation:

1. University of Maryland, College Park,Electrical & Computer Engineering,Maryland,USA

2. Kumoh National Institute of Technology,ICT Convergence Research Center,Gumi,South Korea

3. First Technical University,Mechatronics Engineering,Ibadan,Nigeria

4. Federal University of Technology,Information Technology,Owerri,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10379199/10379205/10429830.pdf?arnumber=10429830

Reference28 articles.

1. The impact of FDI in land in agriculture in developing countries on host country food security

2. Disease and pest prediction IoT system in orchard: A preliminary study

3. A new sawfly pest, monocellicampa pruni wei (hymenoptera, tenthredinidae) attacking fruitlets of japanese plum in south korea;Park;Korean J. App. En tomol.,2019

4. Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features

5. Different controlling methods of fall armyworm (Spodoptera frugiperda) in maize farms of small-scale producers in Cameroon

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