Browsing by Author "Waris Ali"

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Analyzing the Feedback from Women Dairy Farmers in the East District of Sikkim
(Indian Society of Extension Education, 2023) Chimi Yangzom Lepcha; Asif Mohammad; Waris Ali
The dairy sector is a women-centric endeavor. It is an instrument for elevating the vulnerable section of society, particularly the farm women. Farm women contribute diligently towards dairy activities. The study was conducted in the East district of Sikkim in the year 2021. A simple random technique was used for selecting four blocks, five villages from each block, and ten respondents from each village were randomly selected. A personal interview schedule was used for the collection of data. Data were collected from 200 dairy farm women owning at least one dairy cattle. The study analyzes the feedback of dairy farm women based on five aspects, i.e., economical, technical, administrative, information networking, and independent decision-making. The result revealed that the high cost of concentrate, feed, and fodder, delayed service of animal health officials, lack of financial support from the government, irregular information on government schemes on dairy, and non-availability of financial support to women farmers were some of the major feedbacks given by the respondents. © Indian Journal of Extension Education.
Attitude and Knowledge of Belahi Cattle Rearers for Improve Dairy Farming Practices in Haryana
(Indian Society of Extension Education, 2024) Waris Ali; Sanchita Garai; Sanjit Maiti; Chimi Yangzom Lepcha; Deepak Chand Meena; Suman Roy
Belahi cattle are seemed to play an important role in sustaining livelihood security of rural Gujjar pastoralists of the Shivalik foothill of Haryana. So that present study was conducted during June 2019 to March 2021 in selected three districts of Shivalik foothill of Haryana due to native tract of Belahi cattle. From each district one tehsil was selected purposively having the highest Belahi cattle population. Three villages from each Tehsil and twenty migratory Belahi cattle rearer from each village were selected randomly. Therefore, total sample size of the study was 180. Knowledge test and attitude scale developed to ascertain knowledge and attitude of the respondents towards improved dairy farming practices. Belahi cattle rearers possessed medium to higher knowledge and low level of favourable attitude towards scientific dairy farming practices. Majority of the respondents were having good knowledge level about management practices, but very lower level of knowledge about breeding practices. © 2024, Indian Society of Extension Education. All rights reserved.
Crafting a Digital Divide Index for Assessing Agricultural Disparities Among Farmers: An Application of AHP Process
(Indian Society of Extension Education, 2024) Saurabh Chandra; Kalyan Ghadei; Waris Ali
a new measurement tool for assessing the digital divide disparity among farmers in e-agriculture was devised during 2023-24. The index comprises four dimensions, namely ICT ownership, awareness, accessibility, and usage, respectively. For dimension selection, the researchers employed the Analytic Hierarchy Process (AHP). The maximum eigen value (ë max) of the pairwise comparison matrix was 4.0049, serving as the overall weight for the decision-making process. In the item selection process, Likert-type scale procedures were used to assess statements for final indicator selection. An interview schedule with 45 indicators was administered to 60 farmers in a non-sampling area, with five ambiguous indicators subsequently removed. The digital divide index customized for farmers demonstrated strong reliability, with a split-half reliability coefficient of 0.846 (Spearman-Brown formula) and a Pearson correlation coefficient of 0.733. Internal consistency was good, as indicated by a Cronbach’s Alpha of 0.813, and the test displayed strong validity with a score of 0.919. Overall, these findings confirm the reliability and validity of the test in measuring the intended construct. Ultimately, the 38 items were consolidated into a standardized farmers’ digital divide index for assessing agricultural disparities in the farming community. © 2024, Indian Society of Extension Education. All rights reserved.
Development and Validation of a Farmer’s Focused Digital Literacy Scale
(Indian Society of Extension Education, 2024) Saurabh Chandra; Kalyan Ghadei; M. Chennamadhava; Waris Ali
The research aimed to develop a tool for assessing the digital literacy of farmers towards ICT-led agriculture in India. The study identified three dimensions namely digital knowledge, attitude, and digital competency, for a farmer-focused digital literacy scale. Digital competency consisted of seven sub-dimensions viz device setup, digital communication and collaboration, digital content creation and sharing, digital safety, problem-solving, digital marketing, and digital payment. The digital literacy scale was developed with Likert scale construction methodology. An overall mean relevancy score of 5.693 was obtained. A pilot study was conducted with 60 farmers in a non-sampled area. The t-value was calculated, and the cutoff value for item selection was set at > 1.75. For assessing internal consistency reliability using the Spearman-Brown formula, a reliability coefficient of 0.850 was found. The calculation of Cronbach’s alpha gave a value of 0.743, indicating that the scale shows a high level of consistency in its measurement. The standard farmers-focused digital literacy scale comprised of 30 items, and its content validity was determined with expert opinions. © 2024, Indian Society of Extension Education. All rights reserved.