Optimising Corn Leaf Disease Classification with MobileNet and Oversampling
This work addresses the challenge of crop disease identification in agriculture by
introducing an improved deep learning model. The study employs extensive data …
introducing an improved deep learning model. The study employs extensive data …
Challenges of Facial Micro-Expression Detection and Recognition: A Survey
Facial expressions are mainly divided into two broad categories micro-expression and
macro-expression. During human interaction, both macro-expression and micro …
macro-expression. During human interaction, both macro-expression and micro …
Comparative Analysis of Feature Extraction Methods for Cotton Leaf Diseases Detection
Cotton leaf diseases must be accurately detected and classified to reduce plant diseases
and output losses. Feature extraction strategies for automated cotton leaf disease diagnosis …
and output losses. Feature extraction strategies for automated cotton leaf disease diagnosis …
[引用][C] Defect Detection and Classification of Groundnut (Arachis Hypogaea L.) Seed using Ensemble Deep Learning Techniques
G Dinkie - 2024