A Sparse Deep Transfer Learning Model and Its Application for Smart Agriculture

The introduction of deep transfer learning (DTL) further reduces the requirement of data and expert knowledge in various uses of applications, helping DNN-based models effectively reuse information. However, it often transfers all parameters from the source network that might be useful to the task....

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Veröffentlicht in:	Wireless communications and mobile computing 2021, Vol.2021 (1)
Hauptverfasser:	Chen, Zhikui, Zhang, Xu, Chen, Shi, Zhong, Fangming
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Agricultural production Agriculture Algorithms Crop diseases Crops Datasets Edge computing Efficiency Electronic devices Hypotheses Identification Knowledge Learning Mathematical models Methods Neural networks Parameters Pests Smartphones Unmanned aerial vehicles
Online-Zugang:	Volltext
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