S. Sahoo et al. Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S. Water Resources Research, 2017.

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C Müller et al., Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications. Geoscientific Model Development Discussions, pages 1–39, 2016.

$0.01

A Elbehri et al. Assessments of climate change impacts on global-food productivity and implications for food security and trade: Key messages and recommendations. FAO of the UN, 2015.

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J Elliott & C Müller. The global gridded crop model intercomparison? Approaches, insights and caveats of modeling climate change impacts on agriculture at the global scale. FAO of the UN, 2015

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Thomas W Hertel and Uris Lantz C Baldos, editors. Global Change and the Challenges of Sustainably Feeding a Growing Planet. Springer, 2016. Textbook.

$0.01

Raffaele Montella et al. Virtualizing CUDA enabled GPGPUs on ARM clusters. In Parallel Processing and Applied Mathematics, pages 3–14. Springer, 2016.

$0.01

Tess A Russo et al. Assessment of Agricultural Water Management in Punjab, India, Using Bayesian Methods. In Sustainability of Integrated Water Resources Management, pages 147–162. Springer, 2015.

$0.01

Publications