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Journal of Krishi Vigyan
Year : 2024, Volume : 12, Issue : 1
First page : ( 121) Last page : ( 125)
Print ISSN : 2319-6432. Online ISSN : 2349-4433.
Article DOI : 10.5958/2349-4433.2024.00022.9

Measurement tool for training needs of farmers for solar power water pump system

Kumar Rohtash1,*, Kumar Ashok2, Rajpurohit Tribhuwan Singh1, Shubham1, Kantwa Hansa3

1Research Scholar, Department of Agricultural Extension Education, CCS HAU, Hisar (Haryana)

2Assistant Director, Extension Education, CCS HAU, Hisar (Haryana)

3M.Sc. Student, Department of Agricultural Extension Education, AU, Jodhpur

*Corresponding Author's Email: ext.rohtashchhimpa@gmail.com

Online published on 28 March, 2024.

Abstract

An alternative to traditional grid-based or diesel-powered water pumps is the utilization of solar photovoltaic panels to generate electricity from captured sunlight, enabling solar-powered pumps. The availability of portable solar water pumps allows for easy relocation in accordance with seasonal or water demand fluctuations, all while maintaining lower operational costs. The technology employed for harnessing solar energy to power water pumps mirrors the methods previously used with electricity and diesel. In the years 2021-2022, a comprehensive scale was developed to assess the training needs of farmers who have adopted or not adopted solar-powered water pumping systems. This scale was constructed using the Likert method, incorporating a concise rating scale and standardized procedures. A total of 32 items were collected, and a thorough relevancy analysis was conducted by experts. Subsequently, a 23-item schedule was employed for preliminary interviews based on the results of the relevancy analysis. After subjecting the items to further scrutiny for their ability to differentiate, the final scale comprised 17 elements. Its validity and reliability were established using the split-half test reliability method and content validity, respectively. The scale's improved internal consistency was demonstrated by a commendable dependability coefficient of 0.890.

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Keywords

Authenticity, Scale Construction, Solar Power, Renewable Energy and Trustworthiness.

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