Artificial intelligence in soil science: Where do we go now?
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 an...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | Agricultural & Environmental Letters |
| Online Access: | https://doi.org/10.1002/ael2.20134 |
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| _version_ | 1850123375757754368 |
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| author | Jose Pablo Castro Caley K. Gasch Paulo Flores |
| author_facet | Jose Pablo Castro Caley K. Gasch Paulo Flores |
| author_sort | Jose Pablo Castro |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8e605c883ab3440d8f2d45bbc4e91bae |
| institution | OA Journals |
| issn | 2471-9625 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Agricultural & Environmental Letters |
| spelling | doaj-art-8e605c883ab3440d8f2d45bbc4e91bae2025-08-20T02:34:36ZengWileyAgricultural & Environmental Letters2471-96252024-12-0192n/an/a10.1002/ael2.20134Artificial intelligence in soil science: Where do we go now?Jose Pablo Castro0Caley K. Gasch1Paulo Flores2School of Natural Resource Science, Soil Science Department North Dakota State University Fargo North Dakota USAInstitute of Agriculture, Natural Resources, and Extension, Matanuska Experiment Farm and Extension Center University of Alaska Fairbanks Palmer Alaska USACollege of Agriculture, Food Systems and Natural Resources, Department of Agricultural and Biosystems Engineering North Dakota State University Fargo North Dakota USAAbstract 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.https://doi.org/10.1002/ael2.20134 |
| spellingShingle | Jose Pablo Castro Caley K. Gasch Paulo Flores Artificial intelligence in soil science: Where do we go now? Agricultural & Environmental Letters |
| title | Artificial intelligence in soil science: Where do we go now? |
| title_full | Artificial intelligence in soil science: Where do we go now? |
| title_fullStr | Artificial intelligence in soil science: Where do we go now? |
| title_full_unstemmed | Artificial intelligence in soil science: Where do we go now? |
| title_short | Artificial intelligence in soil science: Where do we go now? |
| title_sort | artificial intelligence in soil science where do we go now |
| url | https://doi.org/10.1002/ael2.20134 |
| work_keys_str_mv | AT josepablocastro artificialintelligenceinsoilsciencewheredowegonow AT caleykgasch artificialintelligenceinsoilsciencewheredowegonow AT pauloflores artificialintelligenceinsoilsciencewheredowegonow |