Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics

Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics

In the aquaponic system, plant nutrients bioavailable from fish excreta are not sufficient for optimal plant growth. Accurate and timely monitoring of the plant’s nutrient status grown in aquaponics is a challenge in order to maintain the balance and sustainability of the system. This study aimed to...

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Bibliographic Details
Main Authors: Mohamed Farag Taha, Alwaseela Abdalla, Gamal ElMasry, Mostafa Gouda, Lei Zhou, Nan Zhao, Ning Liang, Ziang Niu, Amro Hassanein, Salim Al-Rejaie, Yong He, Zhengjun Qiu
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Chemosensors
Subjects:
deep convolutional neural networks (DCNNs)
deep learning
image processing
aquaponics
nutrient deficiency
Online Access:https://www.mdpi.com/2227-9040/10/2/45

Internet

https://www.mdpi.com/2227-9040/10/2/45

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