Abstract

Artificial intelligence (AI) is revolutionizing the agribusiness sector, offering significant potential to improve efficiency, sustainability and productivity. By analyzing large amounts of data, AI can optimize resource management, predict crop productivity and detect diseases early, leading to increased agricultural production and reduced environmental impact. However, integrating AI into agriculture faces several challenges, including technological infrastructure, data accessibility, and regulatory hurdles. To fully realize the benefits of AI, it is crucial to address these challenges and develop a robust legal framework that protects intellectual property, ensures data privacy and encourages innovation. By aligning AI-driven agricultural practices with the UN Sustainable Development Goals, we can create a more sustainable and equitable future for global food production.

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