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Emerging digital technologies have the potential to be game-changers for traditional agricultural practices. The Food and Agriculture Organization of the United Nations has referred to this change as a revolution: "a 'digital agricultural revolution' will be the newest shift which could help ensure agriculture meets the needs of the global population into the future."
The Decision Support System for Agrotechnology Transfer (DSSAT) is a set of computer programs for simulating agricultural crop growth. [1] It has been used in over 100 countries by agronomists for evaluating farming methods. [2] [3] One application has been assessing the possible impacts on agriculture of climate change and testing adaptation ...
Precision agriculture was a major shift in technology that occurred in the 1980s. The result was tractors that farmers drove with the aid of GPS devices and on-board computers. Precision agriculture focuses on maximizing returns while using minimum resources. With the aid of GPS devices and computers, farmers could use tractors more efficiently.
A key ambition in this vision is to transform Africa's economies from today's high levels of commodity export to a larger share of industrial manufacturing of higher value-added products, an ambition that will require investments in capacity building, research and development. [162]
As CIO of an agricultural giant with annual sales of $177 billion, Jennifer Hartsock thinks about how the tech tools and capabilities she deploys can help farmers become profitable and sustainable.
Countries in Africa are sorted according to data from the International Monetary Fund. [1] The figures presented here do not take into account differences in the cost of living in different countries, and the results can vary greatly from one year to another based on fluctuations in the exchange rates of the country's currency. [2]
The integration of AI and IoT in Florida's agriculture is not merely an advancement in productivity. It represents a strong commitment to safeguarding our precious water resources.
The long-term risks are profound. As Europe lags in AI adoption, its companies risk falling behind competitors in the U.S. and Asia. This innovation gap could stifle economic growth, discourage ...