Deep Learning Techniques for Agronomy Applications

Deep Learning Techniques for Agronomy Applications

This editorial introduces the Special Issue, entitled “Deep Learning (DL) Techniques for Agronomy Applications„, of Agronomy. Topics covered in this issue include three main parts: (I) DL-based image recognition techniques for agronomy applications, (II) DL-based time series data...

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Bibliographic Details
Main Authors: Chi-Hua Chen, Hsu-Yang Kung, Feng-Jang Hwang
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Agronomy
Subjects:
deep learning for agronomy applications
crop growth prediction
pest disaster prediction
drought disaster prediction
flooding disaster prediction
typhoon disaster prediction
cold damage prediction
Online Access:https://www.mdpi.com/2073-4395/9/3/142

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https://www.mdpi.com/2073-4395/9/3/142

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