New method for rice disease identification based on improved deep residual shrinkage network-Reference-Cited by-同舟云学术

New method for rice disease identification based on improved deep residual shrinkage network

Author:

Lu Yang¹^ORCID,Lin Liyuan¹,Zhang Xinmeng¹,Liu Wanting¹,Guan Chuang²³⁴

Affiliation:

1. College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing, People's Republic of China

2. Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, People's Republic of China

3. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, People's Republic of China

4. Sanya Offshore Oil & Gas Research Institute, Northeast Petroleum University, Sanya, People's Republic of China

Funder

National Natural Science Foundation of China

Hainan Province Science and Technology Special Fund

Heilongjiang Natural Science Foundation of China

Scientific Research Starting Foundation for Post Doctor from Heilongjiang

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

Reference22 articles.

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