FARMER’S PERCEPTION ON CITRUS POLLINATION AND ECONOMIC ANALYSIS OF CITRUS IN SYANGJA DISTRICT, NEPAL

Author:
Ashok Nath Yogi, Yamuna Nath

Doi: 10.26480/amdn.01.2024.25.27

This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Normal distribution frequently arises in statistical analysis and is a fundamental concept represented by a
bell-shaped curve, also known as the Gaussian distribution. Introduced by C.F. Gauss as a model for the relative frequency of measurement errors, the normal distribution is defined by two key parameters: mean and variance, with its shape influenced by standard deviation. In the agricultural field, understanding the application and importance of normal distribution is crucial for effective data analysis and modeling across various disciplines. It serves as an essential tool, providing critical insights for decision-making, prediction, analysis, monitoring, and quality assurance. By leveraging normal distribution, agricultural efficiency, productivity, and sustainability are enhanced, contributing to global food security and economic development. Furthermore, it plays a pivotal role in environmental monitoring, allowing farmers to mitigate environmental risks in crop fields, fostering a more resilient agricultural system.

Pages 25-27
Year 2024
Issue 1
Volume 2