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Scientific Reports (6)
Nature Plants (1)

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Showing 1–7 of 7 results

Advanced filters: Author: Spyridon Mourtzinis Clear advanced filters

A human in the loop approach to applying large language models for farm management insight

Spyridon Mourtzinis
Tatiane Severo Silva
Shawn P. Conley
ResearchOpen Access02 Dec 2025
Scientific Reports

Volume: 16, P: 1-8
Climate Change and ENSO Effects on Southeastern US Climate Patterns and Maize Yield

Spyridon Mourtzinis
Brenda V. Ortiz
Damianos Damianidis
ResearchOpen Access19 Jul 2016
Scientific Reports

Volume: 6, P: 1-7
Climate-induced reduction in US-wide soybean yields underpinned by region- and in-season-specific responses

The United States is one of the largest soybean exporters in the world. An analysis of meteorological and field-trial data spanning the past 20 years suggests that climatic changes have reduced US soybean yields by around 30%.

Spyridon Mourtzinis
James E. Specht
Shawn P. Conley
Research02 Feb 2015
Nature Plants

Volume: 1, P: 1-4
Advancing agricultural research using machine learning algorithms

Spyridon Mourtzinis
Paul D. Esker
Shawn P. Conley
ResearchOpen Access09 Sept 2021
Scientific Reports

Volume: 11, P: 1-7
Neonicotinoid seed treatments of soybean provide negligible benefits to US farmers

Spyridon Mourtzinis
Christian H. Krupke
Shawn P. Conley
ResearchOpen Access09 Sept 2019
Scientific Reports

Volume: 9, P: 1-7
Defining Optimal Soybean Sowing Dates across the US

Spyridon Mourtzinis
James E. Specht
Shawn P. Conley
ResearchOpen Access26 Feb 2019
Scientific Reports

Volume: 9, P: 1-7
A machine learning interpretation of the contribution of foliar fungicides to soybean yield in the north‐central United States

Denis A. Shah
Thomas R. Butts
Paul D. Esker
ResearchOpen Access21 Sept 2021
Scientific Reports

Volume: 11, P: 1-11