Real-Time Corn Variety Recognition Using an Efficient DenXt Architecture with Lightweight Optimizations

Real-Time Corn Variety Recognition Using an Efficient DenXt Architecture with Lightweight Optimizations

As a pillar grain crop in China’s agriculture, the yield and quality of corn are directly related to food security and the stable development of the agricultural economy. Corn varieties from different regions have significant differences inblade, staminate and root cap characteristics, and these dif...

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Bibliographic Details
Main Authors: Jin Zhao, Chengzhong Liu, Junying Han, Yuqian Zhou, Yongsheng Li, Linzhe Zhang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agriculture
Subjects:
at nodulation
corn plant
image classification
deep learning
DenseNet 121
Online Access:https://www.mdpi.com/2077-0472/15/1/79
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