Comprehensive Analysis For Custard Apple Disease Detection Using CNN
Aniruddha Vharkate
Vishwakarma University, Pune, India
Abstrct:
Custard apple, a valuable tropical fruit, faces significant yield and quality challenges due to diseases such as Blank Canker, Diplopia Rot, and Mealy Bug infestations. This paper presents a comprehensive study leveraging convolutional neural networks (CNNs) for automated detection and classification of these diseases. The proposed system processes images of custard apple leaves and fruits to accurately identify disease presence, enabling timely and effective agricultural interventions.
Keywords:
Phishing Detection, URL Classification, Python, Data Preprocessing, Model Deployment, Feature Extraction, Cybersecurity, Model Evaluation
Published on: 06-2024
Journal Name: Science Management Design Journal
Volume: 02
Issue: 02
Pages: 74-83
Month: June
Year: 2024