Deep learning utilization in agriculture: detection of rice plant diseases using an improved cnn model

HIGHLIGHTS

• who: Ghazanfar Latif and collaborators from the Department of Computer Science, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia have published the article: Deep Learning Utilization in Agriculture: Detection of Rice Plant Diseases Using an Improved CNN Model, in the Journal: Plants 2022, 11, x FOR PEER REVIEW of /2022/
• what: The authors propose a Deep Convolutional Neural Network (DCNN) transfer learning-based approach for the accurate detection and classification of rice leaf disease. The aim of this work is to develop a system utilizing novel optimized ML and deep learning (DL) techniques that will . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.