An Emerging Era of Artificial Intelligence Research in Agriculture

Abstract

According to the Food and Agriculture Organization (FAO) of the United Nations, it is projected that the global population will increase by an additional 2 billion individuals by the year 2050. However, the FAO also predicts that only a mere 4% of the Earth's total surface area will be utilized for agricultural purposes. Advancements in technology and innovative solutions to existing limitations in the agricultural sector have facilitated a notable enhancement in agricultural efficiency. The extensive utilization of machine learning and Artificial Intelligence (AI) within the agricultural industry may potentially signify a significant turning point in its historical trajectory. The utilization of AI in farming presents a range of benefits for farmers, including enhanced productivity, reduced expenses, improved crop quality, and expedited go-to-market strategies. This study aims to explore the potential applications of AI in various subsectors of the agriculture industry. This study delves into the exploration of future concepts propelled by AI, while also addressing the anticipated challenges that may arise in their applications.

The Role of Artificial Intelligence in U.S. Agriculture: A Review: Assessing advancements, challenges, and the potential impact on food production and sustainability

“…The historical evolution of artificial intelligence (AI) in agriculture from traditional practices to advanced technologies represents a significant transformation in the sector. Schaefer (2023) highlights the revolutionary potential of AI in agriculture, emphasizing its role in enhancing productivity, reducing expenses, and improving crop quality. The study underscores the importance of AI in addressing the challenges posed by the increasing global population and the limited arable land available for agricultural purposes.…”