It needs a complex process that requires both plant expertise and a large amount of processing time. As a result, plant diseases can be detected using ... the deep learning(DL) technique used ...

A robust image database was built using the Pynovisao algorithm ... developed a framework for agriculture plant disease ...

Once the dataset is optimized, it is fed to the deep learning algorithm to create a model that can predict the disease of an infected plant. Finally, during the testing phase the model shall be given ...

Therefore, there is an urgent need for disease feature optimization algorithms ... of deep learning technology in plant disease identification and control, focusing on: 1) identification techniques ...

AI tools help scientists to uncover the secret behind the big biological data using optimized computational algorithms ... a robust deep learning approach to predict disease-associated mutations ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning ... with transfer learning (COMET), a deep learning and transfer learning protocol.