Sona College of Technology
is a licensed clinical psychologist specializing in adolescent anxiety and family dynamics. With over 15 years of private practice experience, she regularly speaks at national mental health conferences. Nurturing Grit is her debut guide for parents.Plant diseases are key constraints to agriculture and directly impact on crop yield and food security. Early and reliable diagnosis of the disease is crucial to increase agriculture production and minimize economic loss. This thesis proposes a Hybrid Intelligent Model for Precise Plant Disease Detection and Agricultural Productivity Improvement using deep learning combined with optimization. The model is a fusion of deep learning and optimization processes; in which the convolutional neural networks perform an automated feature extraction, while the classifier and feature selection are learnt by a selected algorithm. Image pre-processing techniques are utilized for enhancing the quality of data, after which a hybrid learning based model is used to effectively identify diseases in several crops. Experimental results reveal that, In terms of accuracy, precision, recall, F1-score and RMSE the proposed model outperforms traditional image processing methods, machine learning techniques and the individually trained deep.
Published in: TECHNEXA-2020