Icon Based Information Retrieval and Disease Identification in Agriculture
It addresses the challenge of providing accessible agricultural information and disease diagnosis for digitally illiterate farmers, representing an incremental application of existing technologies to a specific domain.
This paper tackles the problem of digital illiteracy among farmers by developing an interface for information retrieval and crop disease identification using digital image processing and pattern recognition, enabling instant diagnosis without expert visits.
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.