Embedding Expert Opinion in a Bayesian Network Model to Predict Wheat Yield from Spring-Summer Weather

[1]  W. Zeng,et al.  Winter wheat yield prediction using convolutional neural networks from environmental and phenological data , 2021, Scientific Reports.

[2]  E. Kendon,et al.  Resilience of UK crop yields to changing climate extremes , 2021 .

[3]  ANANTA VASHISTH,et al.  Effect of weather variability on growth and yield of wheat crop under semi-arid region of India , 2021, Journal of Agrometeorology.

[4]  A. Mead,et al.  Changes in agricultural climate in South-Eastern England from 1892 to 2016 and differences in cereal and permanent grassland yield , 2021 .

[5]  Lionel Jarlan,et al.  Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco , 2021, Remote. Sens..

[6]  K. Claxton,et al.  Developing a reference protocol for structured expert elicitation in health-care decision-making: a mixed-methods study. , 2021, Health technology assessment.

[7]  Cheikh Modou Noreyni Fall,et al.  Performance of dry and wet spells combined with remote sensing indicators for crop yield prediction in Senegal , 2021 .

[8]  M. Semenov,et al.  Assessing future drought risks and wheat yield losses in England , 2020 .

[9]  M. Rakszegi,et al.  Complex rheological characterization of normal, waxy and high-amylose wheat lines , 2020 .

[10]  M. Trnka,et al.  Adverse weather conditions for UK wheat production under climate change , 2020, Agricultural and forest meteorology.

[11]  B. Basso,et al.  Impacts of climate variability and adaptation strategies on crop yields and soil organic carbon in the US Midwest , 2020, PloS one.

[12]  Liangliang Zhang,et al.  Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China , 2020, Remote. Sens..

[13]  B. Mackey,et al.  The experiences and perceptions of farmers about the impacts of climate change and variability on crop production: a review , 2020, Climate and Development.

[14]  Md. Sekender Ali,et al.  Farmers’ Knowledge on Climate Change Effects in Agriculture , 2019, Agricultural Sciences.

[15]  A. Prishchepov,et al.  Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks , 2019, Land Use Policy.

[16]  S. Powers,et al.  Temperature and nitrogen supply interact to determine protein distribution gradients in the wheat grain endosperm , 2018, Journal of experimental botany.

[17]  Bin Wang,et al.  Impacts of rainfall extremes on wheat yield in semi-arid cropping systems in eastern Australia , 2018, Climatic Change.

[18]  Justin Fainges,et al.  Comparison of sensitive stages of wheat, barley, canola, chickpea and field pea to temperature and water stress across Australia , 2018 .

[19]  Marco Bindi,et al.  Sensitivity of European wheat to extreme weather , 2017, Field Crops Research.

[20]  Judea Pearl,et al.  Bayesian Networks , 1998, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

[21]  Y. Cai,et al.  Crop Yield Predictions - High Resolution Statistical Model for Intra-season Forecasts Applied to Corn in the US , 2017 .

[22]  Alneu de Andrade Lopes,et al.  A survey of the applications of Bayesian networks in agriculture , 2017, Eng. Appl. Artif. Intell..

[23]  G. Bellocchi,et al.  Improving cereal yield forecasts in Europe – The impact of weather extremes , 2017 .

[24]  J. Able,et al.  Effects of Drought Stress on Pollen Sterility, Grain Yield, Abscisic Acid and Protective Enzymes in Two Winter Wheat Cultivars , 2017, Front. Plant Sci..

[25]  R. Ellis,et al.  Wheat seed weight and quality differ temporally in sensitivity to warm or cool conditions during seed development and maturation , 2017, Annals of botany.

[26]  C. Müller,et al.  Understanding the weather signal in national crop‐yield variability , 2017 .

[27]  P. Mérel,et al.  Negative impacts of climate change on cereal yields: statistical evidence from France , 2017 .

[28]  Nick J. Mount,et al.  Participatory modelling for stakeholder involvement in the development of flood risk management intervention options , 2016, Environ. Model. Softw..

[29]  C. Folberth,et al.  Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations , 2016, Nature Communications.

[30]  K. Lertzman,et al.  Observations of climate change among subsistence-oriented communities around the world , 2016 .

[31]  G. Slafer,et al.  Wheat Yield as Affected by Length of Exposure to Waterlogging During Stem Elongation , 2015 .

[32]  Reimund P. Rötter,et al.  Heat stress impacts on wheat growth and yield were reduced in the Huang-Huai-Hai Plain of China in the past three decades , 2015 .

[33]  Marco Bindi,et al.  Temperature and Precipitation Effects on Wheat Yield Across a European Transect: a Crop Model Ensemble Analysis Using Impact Response Surfaces , 2015 .

[34]  Jesse B. Tack,et al.  Effect of warming temperatures on US wheat yields , 2015, Proceedings of the National Academy of Sciences.

[35]  B. Venkateswarlu,et al.  Sensitive growth stages and temperature thresholds in wheat (Triticum aestivum L.) for index-based crop insurance in the Indo-Gangetic Plains of India , 2015, The Journal of Agricultural Science.

[36]  Jeffrey W. White,et al.  Rising Temperatures Reduce Global Wheat Production , 2015 .

[37]  P. Prasad,et al.  Response of floret fertility and individual grain weight of wheat to high temperature stress: sensitive stages and thresholds for temperature and duration. , 2014, Functional plant biology : FPB.

[38]  Reimund P. Rötter,et al.  Adverse weather conditions for European wheat production will become more frequent with climate change , 2014 .

[39]  J. Porter,et al.  Temperatures and the growth and development of maize and rice: a review , 2014, Global change biology.

[40]  P. Pauw.  The role of perception in subsistence farmer adaptation in Africa: Enriching the climate finance debate , 2013 .

[41]  J. Foley,et al.  Redefining agricultural yields: from tonnes to people nourished per hectare , 2013 .

[42]  Clement Atzberger,et al.  Correction: Atzberger, C. Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs. Remote Sens 2013, 5, 949-981 , 2013, Remote. Sens..

[43]  Simon Parry,et al.  The 2010–2012 drought in England and Wales , 2013 .

[44]  J. Eitzinger,et al.  Sensitivities of crop models to extreme weather conditions during flowering period demonstrated for maize and winter wheat in Austria , 2012, The Journal of Agricultural Science.

[45]  S. Seneviratne,et al.  Hot days induced by precipitation deficits at the global scale , 2012, Proceedings of the National Academy of Sciences.

[46]  Bruce G. Marcot,et al.  Metrics for evaluating performance and uncertainty of Bayesian network models , 2012 .

[47]  C. McAlpine,et al.  Estimating the influence of land management change on weed invasion potential using expert knowledge , 2012 .

[48]  Ian C Dodd,et al.  Genetic and management approaches to boost UK wheat yields by ameliorating water deficits. , 2011, Journal of experimental botany.

[49]  J. Palta,et al.  Heat Stress in Wheat during Reproductive and Grain-Filling Phases , 2011 .

[50]  M. Trnka,et al.  Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models , 2011 .

[51]  S. Asseng,et al.  The impact of temperature variability on wheat yields , 2011 .

[52]  Sonia I. Seneviratne,et al.  Observational evidence for soil-moisture impact on hot extremes in southeastern Europe , 2011 .

[53]  D. Lobell,et al.  On the use of statistical models to predict crop yield responses to climate change , 2010 .

[54]  Carlo Giupponi,et al.  Construction of a Bayesian Network for the Assessment of Agri-Environmental Measures - The Case Study of the Venice Lagoon Watershed , 2010 .

[55]  Tim Hess,et al.  Impacts of the summer 2007 floods on agriculture in England , 2009 .

[56]  Hugh P. Possingham,et al.  How useful is expert opinion for predicting the distribution of a species within and beyond the region of expertise? A case study using brush-tailed rock-wallabies Petrogale penicillata , 2009 .

[57]  K. Mengersen,et al.  The power of expert opinion in ecological models using Bayesian methods: impact of grazing on birds , 2005 .

[58]  M. Gooding,et al.  Models of wheat grain quality considering climate, cultivar and nitrogen effects , 1999 .

[59]  F. Tari,et al.  A Bayesian Network for predicting yield response of winter wheat to fungicide programmes , 1996 .