Can crop modelling, proximal sensing and variable rate application techniques be integrated to support in-season nitrogen fertilizer decisions? An application in corn
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[1] L. Bechini,et al. A scoping review of side-dress nitrogen recommendation systems and their perspectives in precision agriculture , 2021, Italian Journal of Agronomy.
[2] Yuncai Hu,et al. Using optimized three-band spectral indices to assess canopy N uptake in corn and wheat , 2021, European Journal of Agronomy.
[3] F. Morari,et al. Evaluation of different crop model-based approaches for variable rate nitrogen fertilization in winter wheat , 2021, Precision Agriculture.
[4] Juanjuan Ma,et al. Application of DSSAT CERES-Maize to Identify the Optimum Irrigation Management and Sowing Dates on Improving Maize Yield in Northern China , 2021, Agronomy.
[5] Yu Bai,et al. Optimization of the nitrogen fertilizer schedule of maize under drip irrigation in Jilin, China, based on DSSAT and GA , 2021 .
[6] W. Parton,et al. Soybean fallow and nitrification inhibitors: Strategies to reduce N2O emission intensities and N losses in Australian sugarcane cropping systems , 2021 .
[7] E. Nafziger,et al. Corn yield response to late‐split nitrogen fertilizer , 2020, Agronomy Journal.
[8] S. Graeff‐Hönninger,et al. Implementation of an automatic time‐series calibration method for the DSSAT wheat models to enhance multi‐model approaches , 2020 .
[9] M. Bindi,et al. Coupling proximal sensing, seasonal forecasts and crop modelling to optimize nitrogen variable rate application in durum wheat , 2020, Precision Agriculture.
[10] Mohammed A. Naser,et al. Using NDVI to Differentiate Wheat Genotypes Productivity Under Dryland and Irrigated Conditions , 2020, Remote. Sens..
[11] Francesco Marinello,et al. Extreme Weather Events in Agriculture: A Systematic Review , 2019, Sustainability.
[12] S. Ceccarelli,et al. The impact of climate change on barley yield in the Mediterranean basin , 2019, European Journal of Agronomy.
[13] Farida Dechmi,et al. DSSAT modelling for best irrigation management practices assessment under Mediterranean conditions , 2019, Agricultural Water Management.
[14] Mónica Balzarini,et al. Protocol for automating error removal from yield maps , 2019, Precision Agriculture.
[15] Jaclyn N. Brown,et al. Seasonal climate forecasts provide more definitive and accurate crop yield predictions , 2018, Agricultural and Forest Meteorology.
[16] A. VanLoocke,et al. How does inclusion of weather forecasting impact in-season crop model predictions? , 2017 .
[17] J. Lindquist,et al. Testing and improving the maize models in DSSAT: Development, growth, yield, and N uptake , 2017 .
[18] G. Bellocchi,et al. Improving cereal yield forecasts in Europe – The impact of weather extremes , 2017 .
[19] F. Marinello,et al. Conservative Precision Agriculture: an assessment of technical feasibility and energy efficiency within the LIFE+ AGRICARE project , 2017 .
[20] F. Marinello,et al. Field-scale electrical resistivity profiling mapping for delineating soil condition in a nitrate vulnerable zone , 2017 .
[21] C. Drury,et al. Assessing the Options to Improve Regional Wheat Yield in Eastern Canada Using the CSM–CERES–Wheat Model , 2017 .
[22] Hui Shao,et al. Active Optical Sensing of Spring Maize for In-Season Diagnosis of Nitrogen Status Based on Nitrogen Nutrition Index , 2016, Remote. Sens..
[23] Roger W. Elmore,et al. Can crop simulation models be used to predict local to regional maize yields and total production in the U.S. Corn Belt , 2016 .
[24] M. Corbeels,et al. Performance and sensitivity of the DSSAT crop growth model in simulating maize yield under conservation agriculture , 2016 .
[25] W. Parton,et al. Legumes or nitrification inhibitors to reduce N2O emissions from subtropical cereal cropping systems in Oxisols , 2015 .
[26] Piero Toscano,et al. Monthly-to-seasonal predictions of durum wheat yield over the Mediterranean Basin , 2015 .
[27] Bruno Basso,et al. A comparison of within-season yield prediction algorithms based on crop model behaviour analysis , 2015 .
[28] John P. Fulton,et al. Evaluation of Vegetation Indices for Early Assessment of Corn Status and Yield Potential in the Southeastern United States , 2014 .
[29] J. McGree,et al. Influence of different nitrogen rates and DMPP nitrification inhibitor on annual N2O emissions from a subtropical wheat–maize cropping system , 2014 .
[30] M. Iredell,et al. The NCEP Climate Forecast System Version 2 , 2014 .
[31] F. Doblas-Reyes,et al. Calibrated multi-model ensemble summer temperature predictions over Italy , 2013, Climate Dynamics.
[32] James W. Jones,et al. Uncertainty in Simulating Wheat Yields Under Climate Change , 2013 .
[33] Spyros Fountas,et al. Environmental and economic evaluation of N fertilizer rates in a maize crop in Italy: A spatial and temporal analysis using crop models , 2012 .
[34] James W. Jones,et al. Impact of manure and slurry applications on soil nitrate in a maize–triticale rotation: Field study and long term simulation analysis , 2012 .
[35] J. Ritchie,et al. A strategic and tactical management approach to select optimal N fertilizer rates for wheat in a spatially variable field , 2011 .
[36] C. F. Drury,et al. Using the DSSAT-CERES-Maize model to simulate crop yield and nitrogen cycling in fields under long-term continuous maize production , 2011, Nutrient Cycling in Agroecosystems.
[37] Hongliang Fang,et al. Corn‐yield estimation through assimilation of remotely sensed data into the CSM‐CERES‐Maize model , 2008 .
[38] Wade Everett Thomason,et al. Defining Useful Limits for Spectral Reflectance Measures in Corn , 2007 .
[39] Bruno Basso,et al. Analyzing the effects of climate variability on spatial pattern of yield in a maize-wheat-soybean rotation , 2007 .
[40] W. Raun,et al. In-Season Prediction of Corn Grain Yield Potential Using Normalized Difference Vegetation Index , 2006 .
[41] C. Frei,et al. Future change of precipitation extremes in Europe: Intercomparison of scenarios from regional climate models , 2006 .
[42] K. L. Martin,et al. Optical Sensor‐Based Algorithm for Crop Nitrogen Fertilization , 2005 .
[43] Gyles W. Randall,et al. Corn Production as Affected by Nitrogen Application Timing and Tillage , 2004 .
[44] W. Raun,et al. Nitrogen Response Index as a Guide to Fertilizer Management , 2003 .
[45] John B. Solie,et al. Identifying an In-Season Response Index and the Potential to Increase Wheat Yield with Nitrogen , 2003 .
[46] J. E. Morrison,et al. Tillage System, Fertilizer Nitrogen Rate, and Timing Effect on Corn Yields in the Texas Blackland Prairie , 2001 .
[47] E. V. Lukina,et al. NITROGEN FERTILIZATION OPTIMIZATION ALGORITHM BASED ON IN-SEASON ESTIMATES OF YIELD AND PLANT NITROGEN UPTAKE , 2001 .
[48] G. Hoogenboom. Contribution of agrometeorology to the simulation of crop production and its applications , 2000 .
[49] C. Willmott. Some Comments on the Evaluation of Model Performance , 1982 .
[50] Bruno Basso,et al. Modeling spatial and temporal optimal N fertilizer rates to reduce nitrate leaching while improving grain yield and quality in malting barley , 2021, Comput. Electron. Agric..
[51] B. Basso,et al. Seasonal crop yield forecast: Methods, applications, and accuracies , 2019, Advances in Agronomy.
[52] Fernando E. Miguez,et al. Coupling and testing a new soil water module in DSSAT CERES-Maize model for maize production under semi-arid condition , 2016 .
[53] C. Fraisse,et al. Management Zone Analyst ( MZA ) : Software for Subfield Management Zone Delineation , 2003 .
[54] J. Ritchie,et al. Cereal growth, development and yield , 1998 .