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Predictive dissonance (conflicting ai predictions), techno. There’s also a risk of job displacement as machines. This paper focuses on the disadvantages of ai in farming, including the high initial costs, concerns about data privacy, reliance on advanced technology, limited adaptability to.
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High costs and the need for advanced technical skills can be barriers. Explore the key challenges and limitations of ai in agriculture, including high costs, data issues, adoption barriers, and technical constraints affecting farmers worldwide. To ensure a responsible and sustainable integration that benefits farmers, consumers, and the environment, it is imperative to thoroughly evaluate both the advantages.
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Ai in agriculture offers precision farming, predictive analytics, and automation.
This paper focuses on the disadvantages of ai in farming, including the high initial costs, concerns about data privacy, reliance on advanced technology, limited adaptability to various. Learn the pros, cons, and future trends of this technology. This research identifies three critical themes of ai's unintended consequences in agriculture:
