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Google X launches AI farming startup, Heritable Agriculture

Olanrewaju Adeniyi by Olanrewaju Adeniyi
February 4, 2025
in Technology
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Google X launches AI farming startup, Heritable Agriculture

Google X launches AI farming startup, Heritable Agriculture

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On February 2, 2025, Google’s X, dubbed the “moonshot factory,” unveiled Heritable Agriculture, a firm committed to using AI to improve farming methods. This is a massive step towards changing the agricultural landscape.

This project uses Google’s technology expertise and artificial intelligence (AI) in sustainable agriculture to boost agricultural yields while addressing environmental issues.

Read also: Google boosts Performance Max with deeper insights, new tools for advertisers

The birth of Heritable Agriculture by Google X

Heritable Agriculture is the brainchild of Google X, a division celebrated for its ambitious projects aimed at solving global challenges through innovation. This startup was born from the need to modernise agriculture, facing climate change, resource scarcity, and the demand for sustainable practices. Under the guidance of Brad Zamft, a physicist with extensive experience in scientific innovation, Heritable Agriculture employs AI to enhance crop improvement, drawing on Zamft’s past roles at organisations like the Bill & Melinda Gates Foundation and TL Biolabs.

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How AI by Google transforms agriculture

Heritable Agriculture uses AI to analyse extensive plant genomic data, predicting genetic combinations for improved crop productivity. This involves delving deep into plant genetics to find traits that could enhance yield, reduce water usage, and increase carbon sequestration. Rather than relying on traditional breeding, which is slow, Heritable uses predictive models to recommend optimal genetic crosses for desired traits, initially avoiding genetic modification to ensure market acceptance. This approach aims at sustainability and tailors crops to adapt to various climatic conditions, enhancing resilience against environmental adversities.

Real-world impact of Google X’s AI in agriculture

Heritable Agriculture has initiated testing in controlled environments at Google X’s specialised facilities in the Bay Area and through field trials across states like California, Nebraska, and Wisconsin. These tests with thousands of plants are crucial to validating the practical application of their AI-driven insights in farming conditions.

Read also: X partners with Visa to power X Money wallet, peer-to-peer payments

Commercialisation and investment in Google X’s agriculture venture

Though details on partnerships and commercial timelines are not fully disclosed, Heritable Agriculture has attracted significant investment from entities like FTW Ventures, Mythos Ventures, and SVG Ventures, with additional backing from Google. This investment reflects a strong belief in Google X’s AI’s potential to revolutionise agriculture.

The launch of Heritable Agriculture couldn’t be more timely. Agriculture contributes significantly to global greenhouse emissions and consumes vast amounts of groundwater. By employing AI, Heritable aims to reduce these impacts, offering food security and environmental preservation solutions. This aligns with Google’s broader goals in sustainability.

Prospects for Google X and AI in agriculture

As Heirable Agriculture advances towards commercialisation, the emphasis will be on expanding these technologies globally, especially in areas most vulnerable to climate change. The vision extends beyond improved yields to fundamentally changing agricultural practices toward sustainability and ecological harmony. Heritable Agriculture by Google X is a beacon of how AI can lead to sustainable farming practices, potentially marking one of Google’s key agricultural innovations.

Tags: AIGoogle's XHeritable Agriculture
Olanrewaju Adeniyi

Olanrewaju Adeniyi

Olanrewaju is a creative media professional focused on tech storytelling and digital content creation. He produces engaging content on tech, AI, software, and innovation. He also trains staff on using AI tools for research, video editing, and productivity.

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