FA-Net: A Fused Feature for Multi-Head Attention Recoding Network for Pear Leaf Nutritional Deficiency Diagnosis with Visual RGB-Image Depth and Shallow Features

FA-Net: A Fused Feature for Multi-Head Attention Recoding Network for Pear Leaf Nutritional Deficiency Diagnosis with Visual RGB-Image Depth and Shallow Features

Accurate diagnosis of pear tree nutrient deficiency symptoms is vital for the timely adoption of fertilization and treatment. This study proposes a novel method on the fused feature multi-head attention recording network with image depth and shallow feature fusion for diagnosing nutrient deficiency...

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Bibliographic Details
Main Authors: Yi Song, Li Liu, Yuan Rao, Xiaodan Zhang, Xiu Jin
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
nutrient deficiencies
deep learning
feature fusion
convolutional neural networks
attention mechanism
Online Access:https://www.mdpi.com/1424-8220/23/9/4507

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