The proposed work focuses on plant disease detection which represents one of the biggest challenges in smart agriculture.
The proposed work focuses on plant disease detection which represents one of the biggest challenges in smart agriculture; in such a context, the possibility to ...
The proposed work focuses on plant disease detection which represents one of the biggest challenges in smart agriculture; in such a context, the possibility to ...
The proposed work focuses on plant disease detection which represents one of the biggest challenges in smart agriculture; in such a context, the possibility to ...
Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection. F De Vita, G Nocera, D Bruneo, V Tomaselli ...
, Davide Giacalone, Sajal K. Das: Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection.
Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection · Article. June 2021. ·. 38 Reads. ·. 14 ...
Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection · Author Picture Fabrizio De Vita. Department ...
2008. Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection. F De Vita, G Nocera, D Bruneo, V ...
People also ask
What is CNN method for plant disease detection?
What is compression in neural network?
Oct 16, 2024 · Porting deep neural networks on the edge via dynamic K-means compression: a case study of plant disease detection. Pervasive Mobile Comput ...