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

IF 2.3 4区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Agricultural & Environmental Letters Pub Date : 2024-08-01 DOI:10.1002/ael2.20134

Jose Pablo Castro, Caley K. Gasch, Paulo Flores

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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.

Abstract Image

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土壤科学中的人工智能：我们该何去何从？

认识到人工智能（AI）在土壤科学领域的快速发展，本评论文章的主要目的是讨论如何将这一技术融入该学科，重点关注最常见的算法及其应用。文章采用辨证和反思的方法，从作者的专业知识和观点中汲取见解。本文探讨了人工智能对就业市场的一些伦理考虑和潜在影响，并呼吁采取一种平衡的方法，在最大限度地发挥这项技术的益处的同时，警惕地减少其负面影响，以确保该行业的完整性和包容性。核心观点人工智能（AI）正在通过先进的分析和预测建模工具改变土壤科学。土壤科学中的道德人工智能应关注数据完整性、隐私和透明研究。人工智能正在重塑土壤科学就业市场，强调适应性和持续学习的必要性。技术和土壤专家之间的合作可以带来突破性的研究和学术解决方案。人工智能作为一种补充工具，可以提高土壤科学家的专业知识、创造力和解决问题的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Agricultural & Environmental Letters Multiple-

CiteScore

3.70

自引率

3.80%

发文量