This article explores the under-reported impact of AI in agriculture, highlighting its potential to address global food security challenges. It focuses on innovative AI solutions used in Africa, such as drones, ground sensors, and data analysis tools, which help farmers combat unpredictable weather, pests, and diseases. The article contrasts AI-driven agriculture with controversial GMOs, emphasizing the benefits of AI in increasing food quality, reducing chemical use, and promoting sustainable farming practices.
One fundamental way to contrast the impact of artificial intelligence is to look at its applications in different industries – in healthcare, and education, in national administration – another way is to look at it on a regional basis.
But quietly, behind the scenes, other types of innovation are happening too, and some of these may have more to offer the world then than those widely publicized Sino-U.S. efforts to become the pre-eminent nation of origin for more efficient deep learning models.Case in point – AI is helping to feed the world.
You can trace the supply chain pricing, he suggested, and see how that impacted the market, including the consumer end market.Sogbadji paint a picture of drone technologies hovering over crops, showing exactly where a disease is having an effect. Ground sensors will take data about the soil and add it into the mix.
“It can create jobs and potentially tackle malnutrition,” he said of these smart systems, which may soon be implemented all over the developing world.
Agriculture Food Security AI Agriculture Food Security Sustainability Africa
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