Agriculture is one of the most powerful tools to eradicate hunger and poverty from the world. Technology has been playing an essential role in the agricultural sector of developed economies, but when it comes to developing and under-developed nations, there is a need to bridge the gap between technology and agriculture. The efficiency in the crop productivity and optimum utilization of resources is a challenge that can be addressed with technological advancement. This study aims to create a knowledge-based system (KBS) in the form of a mobile application to help the Indian farmers for improvement in their agricultural practices and increasing crop productivity. A prototype mobile application, ‘Farm-n-pedia,’ is used to fulfill the informational needs of the farmers and provide a tool for agriculture management using a single platform. This agricultural knowledge mobile application provides accessibility and personalization, which is long desired by the farmers. It enables the users to access any information they want from all around the globe, get personalized expert guidance, know about the latest farming techniques and technology, and increase agricultural productivity.
CITATION STYLE
Sran, A. K., Komiak, S. Y. X., & Manzoor, S. (2020). Mobile Based Agricultural Management System for Indian Farmers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12202 LNCS, pp. 162–174). Springer. https://doi.org/10.1007/978-3-030-49757-6_11
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