Icon Based Information Retrieval and Disease Identification in Agriculture
Namita Mittal, Basant Agarwal, Ajay Gupta, Hemant Madhur

TL;DR
This paper presents an icon-based interface enabling farmers with low digital literacy to efficiently retrieve agricultural information and identify crop diseases instantly using digital image processing and pattern recognition.
Contribution
It introduces a novel icon-based system for accessible information retrieval and disease diagnosis tailored for digitally illiterate farmers.
Findings
Effective interface for non-digital users
Accurate crop disease identification using image processing
Improved access to agricultural information
Abstract
Recent developments in the ICT industry in past few decades has enabled the quick and easy access to the information available on the internet. But, digital literacy is the pre-requisite for its use. The main purpose of this paper is to provide an interface for digitally illiterate users, especially farmers to efficiently and effectively retrieve information through Internet. In addition, to enable the farmers to identify the disease in their crop, its cause and symptoms using digital image processing and pattern recognition instantly without waiting for an expert to visit the farms and identify the disease.
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Taxonomy
TopicsSmart Agriculture and AI
