Paper Key : IRJ************711
Author: Nabaraj Poudel
Date Published: 04 Jan 2025
Abstract
"Soil data characteristics" are the different things about the soil that are used to sort it into groups and see if it is proper for various purposes. When soil studies are done with the help of remote sensing and field samples, this kind of information is often gathered. Researchers and regular people can use survey data to help them make smart choices about farming, building, and how to use land. In the Mustang area, from April 4th week to March 1st week, a small-scale cross-sectional sample survey study was started. Prior testing in different parts of Mustang made sure that the questionnaire design form was well organized. Regional Soil Testing Laboratory tested some of the findings made in the field study. It was easy to use statistical software that was then run on these data that were recorded in Microsoft Excel and then analysis by SPSS. Based on the study, the highest level of boron was found to be 98.08%, and the highest level of alkaline PH was found to be 63.46%. There was a middling amount of organic matter and potassium, but only a low amount of copper and iron. Mineral zinc was found in very small amounts in the sample that was taken. Significantly, there was a significant positive correlation (r 0.897, p<0.01) between the amount of organic matter and nitrogen in the soil. A negative association (r-0.273, p<0.01) was found between pH and zinc because they work against each other. In order to solve the soil data crisis, the study was significant for making decisions and policy formulation that would improve agricultural output and productivity, support food security, and ensure long-term growth in agriculture.Keywords: data, correlation, management, observation, sample, soil,