Evaluation Of Mobile Applications For Rice Crop Management: An Empirical Study On Farmers' Adoption And Satisfaction

Abstract

In countries with extensive agricultural landscapes, extension workers traditionally deliver agricultural services. This study examines the adoption and satisfaction levels of smartphone applications for rice crop management among farmers in Imphal West district, Manipur. Focusing on three villages within the Wangoi block Wangoi, Leiphrakpam, and Phoubakchao a random sampling method was employed to select 150 farmers who actively use mobile phones for agricultural purposes. The study investigates independent variables such as mobile application usage, farm size, and farming experience, while dependent variables include rice crop productivity, resource optimization, farm management efficiency, and farmers' adoption and satisfaction with mobile applications. Data were collected from both primary and secondary sources and analyzed using Microsoft Excel and SPSS. Statistical tools such as ANOVA, regression analysis, mean, and standard deviation were applied for comprehensive data evaluation. The findings provide critical insights into the factors affecting the adoption and effective use of mobile applications for rice farming. This study offers practical recommendations for policymakers, agricultural extension services, and technology developers to enhance agricultural practices and improve farmer livelihoods through digital innovations in rice crop management.