Modelling wheat yield with antecedent information, satellite and climate data using machine learning methods in Mexico

Author:

Gómez Diego,Salvador Pablo,Sanz JuliaORCID,Casanova José Luis

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference69 articles.

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2. Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach;Alvarez;Eur. J. Agron.,2009

3. The impact of temperature variability on wheat yields;Asseng;Glob. Change Biol.,2011

4. Major cereal grains production and use around the world;Awika,2011

5. Becker-Reshef, I., 2015. GEOGLAM (GEO global agricultural monitoring) crop assessment tool. Ag data commons. 10.15482/USDA.ADC/1234202. Accessed 2020-05-23.

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