Enabling Regenerative Agriculture Using Remote Sensing and Machine Learning

Enabling Regenerative Agriculture Using Remote Sensing and Machine Learning

The emergence of cloud computing, big data analytics, and machine learning has catalysed the use of remote sensing technologies to enable more timely management of sustainability indicators, given the uncertainty of future climate conditions. Here, we examine the potential of “regenerative agricultu...

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Bibliographic Details
Main Authors: Michael Gbenga Ogungbuyi, Juan P. Guerschman, Andrew M. Fischer, Richard Azu Crabbe, Caroline Mohammed, Peter Scarth, Phil Tickle, Jason Whitehead, Matthew Tom Harrison
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Land
Subjects:
machine learning
satellite imagery
regenerative grazing
grassland biomass
total standing dry matter
digital agriculture
Online Access:https://www.mdpi.com/2073-445X/12/6/1142

Internet

https://www.mdpi.com/2073-445X/12/6/1142

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