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.
Keywords
Artificial Intelligence, Machine Learning, Cognitive Internet of Things, Agriculture, Disease Detection, Crop Readiness, Field Management.
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Laura Schaefer
Laura Schaefer
Department of Mechanical Engineering, Rice University, Main St., Houston, TX, USA.
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Cite this article
Laura Schaefer, “An Emerging Era of Artificial Intelligence Research in Agriculture”, Journal of Robotics Spectrum, vol.1, pp. 036-046, 2023. doi: 10.53759/9852/JRS202301004.
