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Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery
[article]
2021
arXiv
pre-print
Climate change has caused reductions in river runoffs and aquifer recharge resulting in an increasingly unsustainable crop water demand from reduced freshwater availability. Achieving food security while deploying water in a sustainable manner will continue to be a major challenge necessitating careful monitoring and tracking of agricultural water usage. Historically, monitoring water usage has been a slow and expensive manual process with many imperfections and abuses. Ma-chine learning and
arXiv:2108.05484v1
fatcat:op6xujrraremnjhbswhi2vxani