Benchmarking enhancements to a decision support system for global crop production assessments

Leeuwen, Willem J. D. van; Hutchinson, C.; Drake, Sam; Doorn, Brad; Kaupp, V. H.; Haithcoat, Timothy L.; Likholetov, V.; Sheffner, E. J.; Tralli, D.M.

doi:10.1016/j.eswa.2010.12.145

Cited by 12 publications

(6 citation statements)

References 15 publications

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“…All of these systems use a wide variety of data sources and methods: meteorological indicators, remotely sensed biophysical products and operational crop growth modelling (Lazar and Genovese, 2004;Van Leeuwen et al, 2011;Mueller and Seffrin, 2006;Wu et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level

López-Lozano

Duveiller

Seguini

et al. 2015

Agricultural and Forest Meteorology

103

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a b s t r a c tThis study addresses the role of satellite Earth Observation (EO) indicators within an operational crop yield forecasting system for the European Union (EU) and neighbouring countries, by exploring the correlation between official yield statistics and indicators derived from fAPAR time-series at sub-national level for the period 1999-2012, and by identifying possible differences across agro-climatic conditions in Europe.A significant correlation between fAPAR and official yields (R 2 > 0.6) was found in water-limited yield agro-climatic conditions (e.g. the Black Sea region and the Mediterranean basin) for all three crops studied. In regions where crops experience frequent water stress, most of the yield inter-annual variability is explained by substantial changes in leaf area from one year to another, and can be well captured by regional fAPAR time-series. By contrast, in regions characterized by high yields (e.g. northern Europe) -where water constraints are generally not frequent and, therefore, fAPAR inter-annual variability is low -the correlation between fAPAR and yield is weaker (R 2 < 0.5) as yield variations tend to be explained by multiple factors other than green leaf area.These results confirm the reliability of EO time-series for operational crop yield forecasting at regional level, but also suggest that additional meteorological variables (temperature, precipitation, evapotranspiration) need to be taken into account to interpret EO products meaningfully. Moreover, specific issues related to the spatial resolution of the EO-products, and the absence of dynamic crop masks, currently impede access to crop-specific time-series in the fragmented agricultural landscapes of Europe, and restrict the use of 1-km biophysical products to major crops.

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Section: Introductionmentioning

confidence: 99%

Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level

López-Lozano

Duveiller

Seguini

et al. 2015

Agricultural and Forest Meteorology

103

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“…The system takes global data, model input sources, and analysis tools to estimate crop production. The multiple data and results of the model are the basis for processing, analysing and visualization techniques that lead to an evidence convergence approach to the monthly estimates of production of specific products in each country (Van Leeuwen et al, 2011). A decision support system for soil and water conservation within an agricultural basin was designed and used to generate alternative decision support scenarios to facilitate integrated watershed management concepts in an interactive and holistic way (Lal, 2012).…”

Section: Resultsmentioning

confidence: 99%

Decision Support Systems (DSS) Applied to the Formulation of Agricultural Public Policies

Céspedes

Miranda

Sandoval

2020

Tecnura

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Context: The process of formulating agricultural public policies is very complex due to the large number of variables involved in the process. That is why the development of decision support systems (DSS) help to improve this process. The article reviews the developments that have been made regarding the subject. Method: The method was to conduct a bibliographic review in several scientific databases, looking for developments of DSS systems applied to the process of formulating agricultural policies. When determining which DSS systems have been developed, a qualitative and descriptive analysis of the systems was carried out.

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“…Uno de los mayores problemas que afronta la humanidad actualmente y compromete la supervivencia actual y la de generaciones futuras es la inseguridad alimentaria que se presenta en algunas regiones como Asia, y especialmente en Latinoamérica y África, donde se estima que 9 de cada 10 personas están subalimentadas (Aghmashhadi et al, 2019;FAO et al, 2017;Moon et al, 2019;Prüss-Ustün et al, 2016;Van Leeuwen et al, 2011). Una de las razones por las cuales se presentan estos problemas de alimentación e inseguridad alimentaria es debido a la pérdida de la vocación agrícola en algunas regiones del mundo, lo cual hace que la producción de alimentos se vea afectada.…”

Section: Introductionunclassified

Aplicación de la inteligencia artificial en la formulación de políticas públicas relacionadas con la vocación agrícola de las regiones

2022

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El objetivo de este trabajo fue realizar una revisión sobre el uso de las técnicas de inteligencia artificial (IA) aplicadas a la formulación de políticas públicas que contribuyan a la vocación agrícola de las regiones, para lo cual se usó una metodología descriptiva con enfoque mixto. El diseño metodológico utilizado fue el PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Las publicaciones analizadas fueron tomadas de la base de datos de Scopus. Para el análisis cuantitativo se utilizaron las herramientas informáticas VosViewer y la librería Bibliometrix del lenguaje R. Como resultado se encontró que las técnicas de IA se han aplicado para identificar zonas con vocación agrícola o para encontrar mejores prácticas agrícolas que promuevan el desarrollo sostenible. Se concluyó que esta área de investigación es incipiente y que es necesario generar nuevos modelos que sean más robustos e incluyan variables demográficas, sociales, ambientales, económicas y políticas.

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Benchmarking enhancements to a decision support system for global crop production assessments

Cited by 12 publications

References 15 publications

Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level

Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level

Decision Support Systems (DSS) Applied to the Formulation of Agricultural Public Policies

Aplicación de la inteligencia artificial en la formulación de políticas públicas relacionadas con la vocación agrícola de las regiones

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