Welcome to the InfoSci Platform
Churn Prediction and Fraud Detection in Dairy Sector Using Machine Learning

Churn Prediction and Fraud Detection in Dairy Sector Using Machine Learning

Hitarth Deepak Shah, Chintan M. Bhatt, Shubham Mitul Patel, Jayshil Bhavin Khajanchi, Jaimin Narendrakumar Makwana
Copyright: © 2021 |Pages: 16
ISBN13: 9781799866183|ISBN10: 1799866181|ISBN13 Softcover: 9781799866190|EISBN13: 9781799866206
DOI: 10.4018/978-1-7998-6618-3.ch023
Cite Chapter Cite Chapter

MLA

Shah, Hitarth Deepak, et al. "Churn Prediction and Fraud Detection in Dairy Sector Using Machine Learning." Handbook of Research on Records and Information Management Strategies for Enhanced Knowledge Coordination, edited by Collence Takaingenhamo Chisita, et al., IGI Global, 2021, pp. 391-406. https://doi.org/10.4018/978-1-7998-6618-3.ch023

APA

Shah, H. D., Bhatt, C. M., Patel, S. M., Khajanchi, J. B., & Makwana, J. N. (2021). Churn Prediction and Fraud Detection in Dairy Sector Using Machine Learning. In C. Chisita, R. Enakrire, O. Durodolu, V. Tsabedze, & J. Ngoaketsi (Eds.), Handbook of Research on Records and Information Management Strategies for Enhanced Knowledge Coordination (pp. 391-406). IGI Global. https://doi.org/10.4018/978-1-7998-6618-3.ch023

Chicago

Shah, Hitarth Deepak, et al. "Churn Prediction and Fraud Detection in Dairy Sector Using Machine Learning." In Handbook of Research on Records and Information Management Strategies for Enhanced Knowledge Coordination, edited by Collence Takaingenhamo Chisita, et al., 391-406. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-6618-3.ch023

Export Reference

Mendeley
Favorite

Abstract

India has globally been the largest milk-producing country in the world for two decades. About 400 million litres of milk is produced every day. It is the responsibility of a dairy sector to look after the farmers by providing them with various services for their livelihood. The growing financial capital of the dairy industry has enticed various fraudulent behaviour. The majority of suspicious activities are seen during the collection at local collection centres, fake farmer entries, tempered quantity and fat entries manually, and adulteration are the profound malpractices exercised by farmers. So, in this research work, the authors present a profound study on the most popular machine learning methods applied to the problems of farmer churn prediction and fraud detection in the dairies. They applied a plethora of machine learning algorithms to get accurate results for churn and fraud detection. XGBoost Classifier was the best for churn prediction with 93% accuracy, while random forest classifier turns out to be effective for fraud detection with 94% accuracy.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.