Abstract:
"Fruit Consumers and Sellers are finding it difficult to determine the overall quality of the fruit due to its sub factors which affect the quality in different methods hence this affects the purchase decision of consumers and stock management of sellers due to the unawareness of fruit diseases, inability to determine shelf-life and complications related to ripeness thus the consumers do not have a knowledge of the fruit nutrients that are available therefore a solution is in need to assist in identifying the best quality fruit and to educate the sellers and consumers regarding the factors which affect fruit quality and how to overcome them. The factors which affect fruit quality are colour and ripeness, maturity, appearance, shelf-life and disease details hence these factors need to be monitored to ensure the best quality fruit remains. The research is focused on these factors and how to overcome them while developing a solution to give assistance to fruit sellers and consumers where they can utilise the solution to choose the best quality fruit.
Iterative and incremental methodology have been followed so that the project will be developed which allows to make changes in the development process. The requirements were gathered from fruit sellers and consumers regarding the problem domain which allowed to gather the requirements and begin modelling user requirements. the questionnaire provided the necessary requirements from a larger number of stakeholder while separate questionnaires were used for seller and consumer.
The mobile solution is based only in Sri Lanka and scope is towards the fruit Mango whereas the research proved that this is a timely solution and provides the desired solution to the identified problems thus it incorporates cutting edge technology to this concept while the evaluations were considered by domain experts, tech experts to prove that the aims of this project is achieved."
