Reaching tribal farmers in Meghalaya: Assessing the effectiveness of technology dissemination methods

Abstract

Despite Meghalaya's rich biodiversity and significant agricultural potential, farmers there face numerous challenges that hinder productivity and technology adoption. This study investigates the effectiveness of technology dissemination methods for two specific agricultural technologies: artificial insemination (AI) in pigs and integrated farming system (IFS) models. Using a survey design, data were collected from 200 farmers in selected villages within the Umsning and Bhoirymbong blocks of the Ri-Bhoi district of Meghalaya. The perceived effectiveness of various dissemination methods, including training programs, demonstrations, and exposure visits, was assessed using an effectiveness index based on dimensions such as satisfaction, ease of understanding, timeliness, utility, and relevance. The findings reveal that training was the most effective method for disseminating AI in pigs, with a mean score of 26.31, while field days were deemed most effective for IFS models, with a mean score of 24.81. These results highlight the critical importance of selecting dissemination strategies tailored to farmers' specific needs and local agro-climatic conditions to improve technology adoption. Furthermore, this study emphasizes that effective dissemination not only improves immediate knowledge transfer but also has significant implications for future research in agricultural extension methodologies. The study concludes by advocating for customized extension services that enhance farmers' knowledge and address the practical challenges they encounter when adopting advanced agricultural practices.