1Department of Animal Husbandry, IIMT University, Meerut-250 002, Uttar Pradesh, India.
2Indukaka Ipcowala Institute of Management, Charotar University of Science and Technology, Anand-388 001, Gujarat, India.
3Koneru Lakshmaiah Business School, Koneru Lakshmaiah Education Foundation, A Deemed to be University, Guntur-522 002, Andhra Pradesh, India.
4Assam down town University, Guwahati-781 001, Assam, India.
5Sardar Patel College of Commerce, Sardar Patel University, Vallabh Vidyanagar, Anand-388 001, Gujarat, India.
*Corresponding Author: Jaimin Trivedi, Indukaka Ipcowala Institute of Management, Charotar University of Science and Technology, Anand-388 001, Gujarat, India. Email: jaimintrivedi.mba@charusat.ac.in
Understanding the dynamics of dairy product sales in relation to farm characteristics is crucial for optimizing agricultural practices and market performance.
This study examines these relationships using a comprehensive dataset of 4,325 data points sourced from Kaggle. A random sampling technique was employed to create a representative subset, resulting in a final sample size of 499. The analysis employed multiple statistical methods, including descriptive statistics and chi-square tests, to explore associations between categorical variables such as farm size and sales channel. The Kruskal-wallis test was used to compare medians across groups, such as different farm sizes and locations. Regression analysis was used to assess how independent variables influenced total revenue.
The findings offered valuable insights into the factors affecting dairy product sales, enhancing our understanding of dairy farm operations and contributing to more informed decision-making in the agricultural sector.
Dairy products, Farm characteristics, Farm management, Non-parametric analysis, Sales performance
