Application of artificial intelligence in agriculture

Mohammadreza Moradi¹ Amirsam Izad Panahi² Yazdan Gholamian³ Samyar Moeini Nik⁴

1) The Researcher of Damesh Sepahan Research and New Technologies Center, Isfahan, Iran
2) The Researcher of Damesh Sepahan Research and New Technologies Center, Isfahan, Iran
3) The Researcher of Damesh Sepahan Research and New Technologies Center, Isfahan, Iran
4) The Researcher of Damesh Sepahan Research and New Technologies Center, Isfahan, Iran

Publication : 3rd International Conference on Recent Advances in Engineering, Innovation and Technology - Belgium(eitconf.com/3rd)
Abstract :
With the increasing global demand for food production, new technologies such as artificial intelligence (AI) are transforming agriculture. Using machine learning, image processing, and big data analysis, AI helps optimize agricultural production, reduce costs, and better manage resources. This article examines various applications of AI in agriculture, including precision agriculture, weather forecasting, pest management, and optimizing agricultural input consumption. It will also discuss the challenges and future of this technology in the agricultural industry. With the rapid growth of the world s population, ensuring food security and increasing agricultural productivity has become a major challenge. Artificial intelligence (AI), as one of the advanced technologies, has been able to provide new solutions to optimize agricultural production, reduce costs, and sustainably use resources. Precision agriculture, smart irrigation management, disease and pest detection, weather forecasting, and automation of agricultural machinery are among the applications of AI in this field. This article explores these applications, the challenges of implementing AI in agriculture, and the future of this technology.
Keywords : artificial intelligence precision agriculture machine learning image processing pest management weather forecasting