High-Performance Agricultural Production for the Development of New Land Based on Hydroponics and Deep Learning

Abstract

AbstractThis work aims at substantiating the perspectives and developing the applied recommendations for the organization of high-performance agricultural production for the development of new land based on hydroponics and deep learning. The originality of this research lies in offering recommendations and applied solutions for the development of land that are unfit for farming, while other works focus on countries that specialize in agriculture with favorable conditions. This provides a completely new view at the perspectives of development of agriculture and provision of food security—from the positions of development of new land based on hydroponics and deep learning (not from the positions of improving the practices of agricultural land used in developed areas). This work is structured in the following way: The introduction is followed by a literature review and research materials and methodology. For this, we create a model of the organization of high-performance agriculture on territories that are unfit for agriculture, based on hydroponics and deep learning. This model is based on deep learning. The practical significance and value of the obtained results consist in the fact that the authors’ solutions in the sphere of hydroponics with the use of deep learning allow starting high-performance and sustainable agricultural production, thus ensuring food security of countries with territories that were unfit for crop production.KeywordsHigh-performance agricultural productionDevelopment of new landTerritories that are unfit for agricultureArtificial intelligenceInternet of thingsDeep learningJEL CodesQ15Q51Q54Q55Q56Q57O31O32O33O38