Detection of rice plant diseases based on deep transfer learning.

Journal: Journal of the science of food and agriculture
Published Date:

Abstract

BACKGROUND: 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.

Authors

  • Junde Chen
    School of Informatics, Xiamen University, Xiamen, China.
  • Defu Zhang
    Research Institute of Food Science, Bohai University, Jinzhou 121013, China; College of Chemistry, Chemical Engineering and Food Safety, Bohai University, Jinzhou 121013, China.
  • Yaser A Nanehkaran
    School of Informatics, Xiamen University, Xiamen, China.
  • Dele Li
    Fujian College of Water Conservancy and Electric Power, Sanming, China.