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Abstract

Biodiversity Online J

Artificial Intelligence in Soil Science: Advancing Soil Health and Quality Assessment

  • Mahala DM*, Jat SL, Singh AK and Jat HS

    ICAR-Indian Institute of Maize Research, India

    *Corresponding author:Deep Mohan Mahala, Scientist (Sr. Scale)-Soil Science, ICAR-Indian Institute of Maize Research, Ludhiana, Punjab, India

Submission: November 11, 2024;Published: December 13, 2024

DOI: 10.31031/BOJ.2024.05.000605

ISSN : 2640-9275
Volume5 Issue1

Abstract

Maintaining ecological services, biodiversity, and sustainable crop productivity all depend on the health and quality of the soil. Traditionally, soil quality assessment has been time-consuming. However, Artificial Intelligence (AI) is reshaping the way we think about soil science, particularly the assessment of soil quality. The soil quality assessment is now quicker and more efficient thanks to AI. AI assisted Soil monitoring, modelling, and management is creating new opportunities for environmental protection, carbon management, and sustainable farming. In this article, we will look at a few specific AI tools and methods are being used in soil science.

Keywords:Machine learning; Artificial intelligence; Soil health; Soil quality; Soil Science

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