Category: Agriculture, Digital innovation, Value chain, Decision Making
Target Group: Farmers, Producers, Traders, Food companies, Retailers
The agribusiness sector encompasses huge diversity and variety at each stage, from R & D-based companies to generic manufacturers, subsistence farmers to high tech agroholdings, biotech boutiques and small and medium-sized enterprises (SMEs) to multinational corporations. IASA – Intelligent Agriculture Support Assistant serves as a guide to the design of appropriate programme interventions that apply to the development of competitive agricultural value chains. It emphasizes interventions that promote financial inclusiveness and the overall development goals.
The initial idea for the development of IASA is based on the need for better decision making on specific variables that affect the business process, without the user requesting it through an artificial intelligent system. IASA, like most software agents, will be supported by an intelligent user interface wherein the user interacts with the artificial assistant at a higher and more natural level. The user can select his/her references and the business stage that he/she is in and IASA can provide solutions to the everyday problems that has to cope with.
Output: IASA – Intelligent Agriculture Support Assistant
The agent will receive through its sensors the questions, instructions, commands or user requests, which can be set in a variety of formats.
The proposed software will be based on:
The user business stage and sector.
The user preferences.
Data from other external databases.
The recognition of the repeated actions that a user performs on a device (common locations, repeated calendar appointments, search queries, etc.)
Other users’ preferences matching to the users’ profile.
Answers to questionnaires etc. IASA intelligent core will use several data mining and statistical techniques to identify the most important factors in decision-making process and to anticipate the success/failure.