Artificial intelligence SoS framework for sustainable agricultural production

Abstract

Iraq’s population will have reached 50 million by 2030, according to the Ministry of Planning. This population growth must be handled by ensuring food security stability in the face of expected obstacles resulting from global warming. The agricultural sector encounters limitations due to ineffective detection of persistent agricultural obstacles like pathogens, flawed soil analysis, insect infestations, inadequate irrigation, and drainage. More proven farming strategies must be transferred using modern technological leaps from this vantage point. It is clear from the outset that this paper aims to discuss how artificial intelligence might aid in the growth of conventional methods in agriculture. This involves tracking and guiding each stage of agriculture through the adoption of an intelligent system, which in turn includes managing a set of intelligent systems that control and supervise the rest of the processes (System of Systems or SoS), beginning with ploughing, crop pattern, type of fertilizer, and the appropriate type of irrigation. On the other hand, this technology collection could give farmers an accurate view of market trends and customer preferences, resulting in greater output. This paper gives an insight into the concept of a SoS and the application of artificial intelligence in various fields of agricultural engineering in Iraq. It also proposes an intelligence framework model for self-cultivation and incorporates competitive strategies to develop a decent ecosystem to transform traditional agriculture into smart and accurate agriculture.