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https://web.archive.org/web/20240220083704/http:/news.mit.edu/2024/mit-researchers-remotely-map-crops-fields-0215

MIT researchers remotely map crops, field by field

A new method can remotely map crop types in low- or middle-income countries where agricultural data are sparse. The maps will help scientists and policymakers track global food supplies and estimate how they might shift with climate change and growing populations.



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MIT researchers remotely map crops, field by field

https://web.archive.org/web/20240220083704/http:/news.mit.edu/2024/mit-researchers-remotely-map-crops-fields-0215

A new method can remotely map crop types in low- or middle-income countries where agricultural data are sparse. The maps will help scientists and policymakers track global food supplies and estimate how they might shift with climate change and growing populations.



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https://web.archive.org/web/20240220083704/http:/news.mit.edu/2024/mit-researchers-remotely-map-crops-fields-0215

MIT researchers remotely map crops, field by field

A new method can remotely map crop types in low- or middle-income countries where agricultural data are sparse. The maps will help scientists and policymakers track global food supplies and estimate how they might shift with climate change and growing populations.

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      A new method can remotely map crop types in low- or middle-income countries where agricultural data are sparse. The maps will help scientists and policymakers track global food supplies and estimate how they might shift with climate change and growing populations.
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      MIT MechE, Sherrie Wang, Jordi Laguarta Soler, MIT IDSS, mapping crops, Thailand, small farms, global food security, climate change, machine learning, Google street view, satellite imagery
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      A new method can remotely map crop types in low- or middle-income countries where agricultural data are sparse. The maps will help scientists and policymakers track global food supplies and estimate how they might shift with climate change and growing populations.
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