Data management

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The DSSAT crop modeling ecosystem

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Agri Semantics: developments to improve data interoperability to support farm information management and decision support systems in agriculture

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The Decision Support System for Agrotechnology Transfer (DSSAT) crop modeling ecosystem: evolution and advances

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Key issues in incorporating proximal and remote sensor data into farm decision-making

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Trends in farm information management systems

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Improving data identification and tagging for more effective decision making in agriculture

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Improving data management and decision-making in precision agriculture

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Improving data standards and integration for more effective decision-making in agriculture

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Improving modeling of nutrient cycles in crop cultivation

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The future of crop modeling for sustainable agriculture

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Data for developing, testing, and applying crop and farm models

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Decision support systems (DSS) for better fertiliser management

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Decision-support systems for pest monitoring and management

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Developing climate-based decision support systems from agricultural systems models

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Developing decision-support systems for crop rotations

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Agroecosystem models for delivering ecosystem services

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Crop simulation model inter-comparison and improvement

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Dealing with uncertainty in crop models

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Developing decision support systems for optimizing livestock diets in farms

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Developing decision-support systems for pasture and rangeland management

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Developing decision support systems for irrigation/water management on farms

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Smart farming in extensive livestock production: the Australian experience

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Integrating livestock production into whole-farm system models of mixed crop–livestock systems

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Developing decision support systems for improving data management in agricultural supply chains

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The role of digital technologies in achieving sustainable agriculture

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Using data mining techniques for decision support in agriculture: support vector machines

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Advances in crop disease forecasting models

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Modeling crop rotations: capturing short- and long-term feedbacks for sustainability and soil health

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Integrating economic simulation models with whole-farm system models for ex ante technology impact assessment

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Advances in artificial intelligence (AI) for more effective decision making in agriculture

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Advances in data security for more effective decision-making in agriculture

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Improving crop pest/disease modeling

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Improving data access for more effective decision making in agriculture

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Improving modelling of water cycles in crop cultivation

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Landscape models to support sustainable intensification of agroecological systems

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Whole-farm system models in practice: diverse applications

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Functional–structural plant modeling of plants and crops

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Advances and improvements in modeling plant processes

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