Internal quality assessment of mango fruit: an automated grading system with ensemble classifier

ABSTRACT

In this work, a non-destructive and automated mango grading system model is developed for grading the mangoes into three categories depending on their internal features like Soluble Solid Content (SSC) as well as Total Acid Content (TAC). Initially, the prepared database is de-noised with the proposed adaptive Gaussian noise removal approach. Then, the Gray Level Co Occurrence Matrix (GLCM), Gray Level Run-Length Matrix (GLRM) features, and Near Infrared (NIR) spectroscopy features were extracted. As the curse of dimensionality persists, a patch-based Principal Component Analysis (PCA) model for dimensionality reduction is introduced. Subsequently, the dimensional reduced features are subjected to aproposed ensemble classifier that encompasses: ‘Support Vector Machine (SVM), Random Forest (RF), three Artificial Neural Network (ANN), and K-Nearest Neighbor (KNN)’. The weight of the third ANN is optimally-tuned by a novel improved meta-heuristic model depicting the Lion-Binary crossover mask base Whale Optimization (LBWO) Algorithm.

KEYWORDS:

• Mango grading
• adaptive Gaussian filtering
• NIR features
• patch based proposed PCA
• Proposed ensemble classifier
• analysis
• network
• optimization

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Mukesh Kumar Tripathi

Mukesh Kumar Tripathi received a B.E. degree in Information Technology from GNDEC, Bidar, India, in 2009. He received his M. Tech degree in CSE from JNTU, Hyderabad, India, in 2013. Presently he is pursuing his Ph.D. under Dr. Dhananjay D. Maktedar from the department of computer science and Engineering, GNDEC, Bidar, India. He is working at Vasavi College of Engineering (Autonomous), Hyderabad as an Assistant professor. His areas of interest are Machine learning, Deep learning and Computer Vision application.

Dhananjay D. Maktedar

Dr. Dhananjay D. Maktedar obtained his PhD in Computer Science and Engineering (2015) from JNTU, Hyderabad. Presently he is working as a principal at Guru Nanak Dev Engineering College, Bidar, India. He has been invited as a resource person to deliver various technical talks on Image Processing, Pattern Recognition, and Soft Computing. He also served as a reviewer for National, International Conferences and Journals. He has published articles in more than 40 International reputed peer reviewed journals and conferences proceedings. His area of interest includes Machine Learning, Image Processing, Pattern recognition and information security.