Digital Farmer’s Profiling System for Decision Support Towards E-Governance

Abstract

The "Digital Farmer's Profiling System for Decision Support in E-Governance Research" is an innovative approach harnessing digital technologies to elevate the realms of agriculture and governance. Its primary objective was to create an integrated digital profiling system for farmers, enabling the collection and analysis of essential farmer data, thereby facilitating informed decision-making for both farmers and departmental agriculture offices. Specifically, the project aimed to develop a profiling system with distinct components, including farmer profiles, land profiles, livestock and poultry information, aquaculture farmer data, service provider details, livelihood insights, and cost and return analysis information. Additionally, the system features an efficient reporting mechanism capable of generating critical information, such as lists of farmers and land forecasting data. The research employed a qualitative methodology, gathering data from sample documents and interviews involving registered farmers and agricultural stakeholders, selected through a stratified sampling approach to ensure diversity in geographical locations and farm types. Ethical considerations, including a rigorous commitment to data privacy and obtaining informed consent, were meticulously observed throughout the research process. The Agile software development model was employed for designing and developing the system. This study has not only successfully met all the requirements of a farmer's profiling system with an exceptional capability by encompassing key components. Furthermore, it features a robust reporting mechanism for generating crucial data, including lists of farmers and land forecasting information