Application of artificial intelligence in agriculture, natural resources, and environment

The agricultural sector faces challenges due to the rapid growth of the population, climate change and natural resources. Artificial intelligence (AI) emerged as a transformative force capable of considering these important issues by advanced data-based technologies. This review examines various applications of AI in agriculture, natural resource management and environmental stability. Major AI technologies such as machine learning, computer vision, Internet of Things (IoT), and robotics are examined for their roles in accurate agriculture, crop monitoring, resource adaptation and climate change modeling. AI enables efficient water and soil management, biodiversity conservation, pollution control, waste management and growth of renewable energy systems. Despite its promising capacity, adoption of AI in agriculture has led to many obstacles, including high cost, limited data infrastructure, skill deficiency and moral concerns related to data privacy and automation. This paper highlights recent progress, current challenges, and future research directions to facilitate the integration of AI for durable and efficient agricultural practices worldwide.

کلیدواژه ها:

Artificial intelligence (AI) ، Environmental sustainability ، Machine learning ، Precision agriculture ، Resource management