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Detection of rice plant diseases based on deep transfer learning - 2020

Research Area:  Machine Learning


As the primary food for nearly half of the world-s population, rice is cultivated almost all over the world, especially in Asian countries. However, the farmers and planting experts have been facing many persistent agricultural challenges for centuries, such as different diseases of rice. The severe rice diseases may lead to no harvest of grains; therefore, a fast, automatic, less expensive and accurate method to detect rice diseases is highly desired in the field of agricultural information.

Author(s) Name:  Junde Chen, Defu Zhang, Yaser A Nanehkaran, Dele Li

Journal name:  Science of Food and Agriculture

Conferrence name:  

Publisher name:  Wiley


Volume Information: