Abstract:
"Chemical fertilizer usage is big problem in Sri Lanka. Researchers say that the chronic kidney
disease is also an effect of this chemical fertilizer usage. As traditional farming country Sri Lankan
farmers were using organic fertilizer in the ancient history. But because of the increased
requirements and due to the need of maximum profits farmers switched to the chemical fertilizer.
To solve this problem, promotion of organic produce is a necessary thing. Organic products are
not very much famous in Sri Lanka because of its price, trust issues and accessibility issues.
“iCrops” application is proposed to solve this problem. This application creates a model between
farmer, supermarket, and customer to promote organic product. Fresh product home delivery in
Sri Lanka is still in its early stages. And the transportation cost is also quite high due to the
economic situation in Sri Lanka. So this application can be used by the supermarkets to manage
customer organic product orders. Thus, reducing cost and solving accessibility issues. To make
this applications recommendations more trustworthy, explainable recommendations are generated.
Most of the recommendation systems does not explain the generated recommendations.
Explainable recommendations are a rising area of recommendation systems. Combining it with
popular transformer models this application generates an explanation to win the trust of the user."
