Assessing the Association of various Attributes of Farmers with the Applicability of KMAS

Author: Aastha Nigam, H.K. Awasthi and P.K. Pandey

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Abstract

Although the use and adoption of mobile phones has skyrocketed, these fundamental socioeconomic and demographic factors—income, education, gender, and age—remain barriers to adoption and use. By giving the rural public a new platform, mobile devices in a way draw attention to the value of bilateral contact and its potential for personalized information. The study was conducted using a random sampling technique on 120 farmers in the Raipur district of Chhattisgarh state with the aim of determining the relationship between the various attributes such as Socio economic, Socio psychological, Communication, various dimensions of message of farmer-subscribers and the applicability of the messages delivered by the Kisan Mobile Advisory Service (KMAS). The respondents were personally interviewed while the data was being gathered using a structured schedule. Mean, Standard deviation, Frequency, Percentage, Karl Pearson's correlation coefficient (r), Multiple regression were used to examine the data in order to provide a meaningful interpretation. The correlation coefficient analysis discovered that respondents' characteristics such as education, land holding size, annual income, innovativeness, contact with extension workers, mass media exposure, understandability of the message and usefulness of the message have a significant relationship with the applicability of the advisory delivered through Kisan Mobile Advisory Service at the 0.01 level of probability, whereas scientific orientation, risk orientation, and use of information has a significant relationship with applicability of the advisory delivered through Kisan Mobile Advisory Service at 0.05 level of probability. While the regression analysis showed that there is significant relationship between the selected independent and dependent variables i.e. 47.7% of the variations in dependent variable are due to the selected independent variables.

Keywords

Kisan Mobile Advisory Service (KMAS), ICT, Applicability of ICT, SMS, Regression analysis

Conclusion

On the basis of above findings, it can be concluded that the farmers education, land holding size, annual income, innovativeness, contact with extension workers, mass media exposure, understandability of the message, usefulness of the message, scientific orientation, risk orientation, and use of information have significant relationship with the applicability of the message. The results allow us to draw the conclusion that these variables should be taken into account when choosing farmers to participate in extension programmes. When it comes to assisting farmers in our nation make informed decisions that will result in profitable farming in areas where the ratio of extension agents to farmers is low, KMAS has a wide range of options. In India, where mobile networks and handsets are becoming more widely used, there is a chance to provide farmers with vital information more quickly and widely.

References

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How to cite this article

Aastha Nigam, H.K. Awasthi and P.K. Pandey (2023). Assessing the Association of various Attributes of Farmers with the Applicability of KMAS. Biological Forum – An International Journal, 15(10): 83-87.