Farm-n-Pedia: Expert mobile agricultural knowledge-based system for Indian Farmers

Abstract

Efficiency in farming productivity and optimum utilization of resources in the agriculture sector in developing countries is a challenge that can be addressed with technological advancement. There is also a strong need to work on the farming community’s engagement to make better farming decisions. This study aims to create an expert knowledge-based system (KBS) in a mobile application to help Indian farmers improve their agricultural practices and increase crop productivity. A prototype mobile application, ‘Farm-n-Pedia,’ is designed and used to fulfill the farmers’ informational and engagement needs. It provides a tool for agriculture management using a single platform. The expert KBS incorporates a crowdsourcing system as part of the knowledge base and interface design. The mobile application enables the users to access the worldwide information they want, get personalized expert guidance, interact with the local agrarian community, know about the latest farming techniques and technology, crowdsource data collection and increase agricultural productivity.

Keywords: {'name': 'Agriculture app, Knowledge-based system, social media, crowdsourcing, farming, crop productivity'}

Authors & affiliations

Ashmean Kaur Sran
Affiliation not supplied

Sherrie Yi Komiak
Affiliation not supplied

Sabir Manzoor
Affiliation not supplied

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