Development of an Automated Management System for Agricultural Technologies in Horticulture

Abstract

The implementation of intelligent technologies in industrial horticulture is possible with the help of an automated system for managing production processes. (Research purpose) To develop and substantiate the parameters of an automated management system for agricultural technologies in horticulture with the ability to conduct land inspections using a mobile application. (Materials and methods) ADO.NET driver Npqsql was used for work with the database. Dapper was used as Object Relational Mapping. The web application used the Model View Controller design pattern, and Bootstrap as the css framework. Data visualization from the database was carried out using cloud technology, placing the site using a set of Internet Information Services. Jquery (a set of JavaScript functions) served as the main framework for working with the client-side of the program code. The authors also used the PostgreSql database management system. The mobile application was created in the Android studio integrated environment. (Results and discussion) The authors developed an automated system for managing agricultural technologies. They formed the structure of the hardware and software base. They created the system ability to operate in a dialogue mode with the user through forms, based on the algorithm for choosing the optimal options for technological processes in the horticultural products production. A mobile application was implemented to conduct digital land inspections. They determined the procedure for conducting land inspections by agronomists using a mobile application. (Conclusions) The authors developed a system for the automated technologies formation and management in horticulture, which provided operational processing of information flows in real time, reflecting the characteristics of the plants’ growth and state in critical phases of development. They provided modern recording devices and a mobile application operation. They showed that the system automatically optimized machine technologies for the cultivation of horticultural crops according to biological (realization of the potential biological productivity of crops) and economic (increasing the efficiency of using production resources) criteria.