Satin Bowerbird Optimization With Convolutional LSTM for Food Crop Classification on UAV Imagery
Author:
Affiliation:
1. Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
Funder
Deputyship for Research and Innovation, Ministry of Education, Saudi Arabia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10107605.pdf?arnumber=10107605
Reference27 articles.
1. Weed detection in soybean crops using custom lightweight deep learning models
2. Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images
3. Identification of maize leaves infected by fall armyworms using UAV-based imagery and convolutional neural networks
4. Detection and classification of soybean pests using deep learning with UAV images
5. Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images
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