Evaluation of three sugarcane simulation models and their ensemble for yield estimation in commercially managed fields
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- Type
- article
- Published
- 2017-11-01
- Cited by
- 70
- References
- 63
- Access
- Open access
- OpenAlex
- https://openalex.org/W2753451646
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:90825632
Keywords
DSSAT, Crop simulation model, Yield (engineering), Crop yield, Simulation modeling
References
- Water use efficiency and soil water availability for sugarcane.
- Crop evapotranspiration : guidelines for computing crop water requirements
- Modelo bioeconômico para manejo e tomada de decisão em lavoura de cana-de-açúcar
- Estimativa da produtividade da cana-de-açúcar para as principais regiões produtoras de Minas Gerais usando-se o método ZAE 1
- Simulação do crescimento da cana-de-açucar pelo modelo agrohidrológico SWAP/WOFOST
- Sugarcane model intercomparison: Structural differences and uncertainties under current and potential future climates
- Simulação do efeito do manejo da palha e do nitrogênio na produtividade da cana-de-açúcar
- The historical and future contribution of crop physiology and modelling research to sugarcane production systems
- A new method of simulating dry matter partitioning in the Canegro sugarcane model.
- Physiology and productivity of sugarcane with early and mid-season water deficit
- Harmonized soil profile data for applications at global and continental scales: updates to the WISE database
- Potential and Actual Sugarcane Yields in Southern Brazil as a Function of Climate Conditions and Crop Management
- Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models
- APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems
- Ensemble data mining approaches to forecast regional sugarcane crop production.
- Using the WISE database to parameterize soil inputs for crop simulation models
- Characteristics of low-carbon data centres
- Sugarcane for water-limited environments: Theoretical assessment of suitable traits
- Modelling sugarcane production systems I. Development and performance of the sugarcane module
- Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models
Cited by
- Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil
- Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil
- Sugarcane yield gap analysis in Brazil - A multi-model approach for determining magnitudes and causes.
- Dimensioning the Impact of Irrigation on Sugarcane Yield in Brazil
- Crop prediction and soil response to sugarcane straw removal
- Drying‐Off Periods for Irrigated Sugarcane to Maximize Sucrose Yields Under Brazilian Conditions
- Sustainable intensification of sugarcane production under irrigation systems, considering climate interactions and agricultural efficiency
- Prediction of Sugarcane Yield by Soil Attributes under Straw Removal Management
- Simple model based on artificial neural network for early prediction and simulation winter rapeseed yield
- New APSIM-Sugar features and parameters required to account for high sugarcane yields in tropical environments
- El Niño–Southern Oscillation and Its Impacts on Local Climate and Sugarcane Yield in Brazil
- Sugarcane irrigation potential in Northwestern São Paulo, Brazil, by integrating Agrometeorological and GIS tools
- Using Artificial Neural Network in Determining Postharvest Life of Kiwifruit.
- Multicriteria Prediction and Simulation of Winter Wheat Yield Using Extended Qualitative and Quantitative Data Based on Artificial Neural Networks
- Intercomparison of structural features and performance of Eucalyptus simulation models and their ensemble for yield estimations
- Soybean and maize off-season sowing dates when cultivated in succession: impacts of climate variability on yield and profitability
- Application of artificial neural networks for the prediction of quality characteristics of potato tubers - Innovator variety
- Sugarcane Yield Prediction Through Data Mining and Crop Simulation Models
- Intercomparison and Performance of Maize Crop Models and Their Ensemble for Yield Simulations in Brazil
- Simulating the Impacts of Climate Change on Sugarcane in Diverse Agro-climatic Zones of Northern India Using CANEGRO-Sugarcane Model
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