Artificial intelligence in soil science: Where do we go now?

Here, five artificial Intelligence structures are shown that the authors wish to highlight. These largely constitute the basis of many other advanced artificial intelligence algorithms and are a good starting point to begin to understand how AI is applied in soil sciences.

Abstract

Recognizing the fast advancement of artificial intelligence (AI) in soil science, the main objective of this commentary paper is to discuss how this technology is being incorporated into the discipline, focusing on the most common algorithms and their applications. Employing a discursive and reflective methodology, the article draws insights from the authors’ expertise and opinions. The paper explores some ethical considerations and the potential impact of AI on the job market and calls for a balanced approach that maximizes the benefits of this technology while vigilantly mitigating its negative implications to ensure the integrity and inclusivity of the profession.

Core Ideas

Artificial intelligence (AI) is changing soil science with advanced analytic and predictive modeling tools.
Ethical AI in soil science should focus on data integrity, privacy, and transparent research.
AI is reshaping the soil science job market, emphasizing the need for adaptability, and continuous learning.
Collaboration between technology and soil experts can lead to groundbreaking research and academic solutions.
AI, as a complementary tool, can enhance soil scientists’ expertise, creativity, and problem-solving abilities.

Agricultural &Environmental Letters, Volume 9, Issue 2, December 2024. Read More