The unbreakable trade-off between agricultural development and biodiversity loss: Is there a magical role of artificial intelligence?

Siew-Pong Cheah, Tan Ai-Lian, Tan Yan-Ling, Thian-Hee Yiew and Lee Chee-Loong

Politická ekonomie, vol. preprint

Abstract: Artificial Intelligence (AI) significantly enhances agricultural production by optimizing inputs, minimizing waste, and improving management practices. However, the capability of AI to foster sustainable agriculture remains under scrutiny. This study investigates AI\'s impact on the relationship between agriculture and biodiversity loss across 132 countries from 2013 to 2021. Employing a Negative Binomial (NB) regression model, our findings reveal that traditional agricultural practices contribute to an increase in the number of threatened species. Conversely, integrating AI in smart farming practices appears to mitigate biodiversity loss. Additionally, our analysis confirms that climate change plays a substantial role in species depletion. The strategic use of AI on agricultural land not only boosts productivity and reduces operational risks but also enhances environmental stewardship. It is crucial, therefore, that policies are crafted and refined to better align AI initiatives with sustainability objectives.

Keywords: Artificial intelligence; agriculture; biodiversity loss; Negative Binomial (search for similar items in EconPapers)
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DOI: 10.18267/j.polek.1507

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