Remove Arable Land Remove Technology Remove Yield
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Challenges and Innovations Driving the CEA Sector in GCC and MENA

Agritecture Blog

Credit: World Resources Institute According to Strategy and PWC , GCC countries import about 85% of their food and approximately 56% of vegetables, largely due to the highly limited arable land in the region, averaging 4.25%. What sets KRISPR apart is their commitment to incorporating innovative technologies in their operations.

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GroundWork BioAg announces launch of the Rootella Carbon program

World Agri-Tech

Groundwork BioAg announced the global launch of the Rootella Carbon program, based on mycorrhizal carbon – a frontier technology that leverages mycorrhizal fungi as a nature-based solution for carbon dioxide removal.

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Exemplary Approaches to Hybridizing Agriculture

Agritecture Blog

In other words, bigger is better and yield is king. Various technologies and methodologies have begun to crop up over the last decade, presenting themselves as “silver bullets” to this food system problem. The same problem arose in 2018 when summer droughts cut the country’s hops yield to 30% below average.

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Early-Stage Agrifood Investment in Africa is Taking Off. What Could This Mean for CEA?

Agritecture Blog

A recent report by McKinsey revealed that while Africa has large amounts of untapped agricultural land that could be used to increase production, much of this land is in unreachable areas. The lack of infrastructure, conflict zones, forest cover, and large conservation areas has made lots of arable lands inaccessible.

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Colorado’s Groundwater Experiment

Civil Eats

Fields in the San Luis Valley yield two billion pounds of potatoes a year, making the region the nation’s second-biggest spud producer. But the valley’s irrigation outlook is dire: Water withdrawn by wells exceeds the amount of snowmelt refilling aquifers, and there are more claims to water rights than there is water in streams.

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Revolutionizing Agriculture Through Artificial Intelligence

World Agri-Tech

So, as AI technologies advance, what impacts will they have on agri-food value chains? Our AI/ML models analyze soil data, weather predictions, and historical yields, recommending optimal seed varieties. This has resulted in up to 25% yield increase in key markets.