Integration of artificial intelligence (AI) into agriculture has the potential to revolutionise agriculture, but it also presents challenges and risks that must be carefully managed. AI can improve planning, streamline work processes, and improve decision making in crop culti...
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| Ngā kaituhi matua: | , |
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| Hōputu: | Tuhinga |
| Urunga tuihono: | https://doaj.org/article/a115761af0da408d9cd53624321368be |
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| Whakarāpopototanga: | Integration of artificial intelligence (AI) into
agriculture has the potential to revolutionise agriculture, but it
also presents challenges and risks that must be carefully managed.
AI can improve planning, streamline work processes, and improve
decision making in crop cultivation and animal husbandry,
ultimately leading to higher returns for farmers. However, lack of
training and high implementation costs can make it difficult for
some farmers to adopt AI, creating a competitive disadvantage and
concentrating agricultural resources. Additionally, AI may
contribute to unemployment among those with lower skill levels and
poses cybersecurity risks that need continuous monitoring. Legal
concerns also arise with respect to data ownership and usage
rights, with questions about who can access and utilise collected
data. Farmers often have to rely on AI systems as "black boxes",
with limited understanding of how they work. If these systems fail
and cause damage, accountability becomes an important issue. It is
crucial to assess the drawbacks and risks of AI implementation in
agriculture and educate farmers about these risks to prevent
significant damage. Managing these risks effectively and ensuring
data accuracy and security are essential in the global adoption of
AI in agriculture. |
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