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The agricultural sector faces significant challenges, with one in 11 people globally experiencing hunger. As the population is projected to reach nearly 10 billion by 2050, the need for innovative solutions is critical. Climate change exacerbates food insecurity, necessitating the adoption of technological advancements to enhance productivity and resilience in farming.
Traditional farming methods are increasingly inadequate due to climate volatility and rising demand for food. Digital farming, utilizing AI and IoT, offers transformative solutions by improving efficiency and crop yields. For instance, AI models can predict crop yields with high accuracy, significantly benefiting regions like Africa where food security is a pressing issue.
• AI models can predict maize yields with 87% accuracy.
• Digital farming enhances agricultural efficiency and maximizes crop yields.
AI is utilized for crop disease detection and predictive analysis to enhance farming practices.
IoT devices monitor environmental factors like soil health, temperature, and humidity for optimal crop growth.
This management concept uses technology to improve farming practices and increase productivity.
UM6P conducts research that applies AI to predict crop yields, significantly aiding food security efforts.
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