Crop Modeling and Decision Support

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Cao, Weixing (Επιμελητής έκδοσης), White, Jeffrey W. (Επιμελητής έκδοσης), Wang, Enli (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Θέματα: Life sciences.; Computer science.; Agriculture.; Environmental sciences.; Life Sciences.; Computer Science, general.; Math. Appl. in Environmental Science.

 "Crop Modeling and Decision Support" presents 36 papers selected from the International Symposium on Crop Modeling and Decision Support (ISCMDS-2008), held at Nanjing of China from 19th to 22nd in April, 2008. Many of these papers show the recent advances in modeling crop and soil processes, crop productivity, plant architecture and climate change; the rests describe the developments in model-based decision support systems (DSS), model applications, and integration of crop models with other information technologies. The book is intended for researchers, teachers, engineers, and graduate students on crop modeling and decision support. Dr. Weixing Cao is a professor at Nanjing Agricultural University, China. 

 Modeling Time of Seedling Emergence of Spring Wheat -- Complete Parameterization of Photosynthesis Models—An Example for Barley -- Studies on Photosynthesis Model of Mini-Cucumber Leaf in Greenhouse -- Finding a Suitable CO2 Response Algorithm for Crop Growth Simulation in Germany -- Bringing Genetics and Genomics to Crop Simulations: Experiences with Wheat, Sorghum and Common Bean in Solving the GEM-to-P Problem -- Establishment of Dynamic Model for the Nutrient Uptake and Development about Tomato in Greenhouse -- CANON: A Canonical Composition for Building Plant Shoots From the Bottom Up -- A Quantitative Analysis on Leaf Curvature Characteristics in Rice -- The Response of Canopy Direction Reflectance Spectrum for the Wheat Vertical Leaf Distributing -- Modeling Leaf Sheath and Internode Growth Dynamics in Wheat -- Modeling Fruit Morphological Formation on Muskmelon -- Shape Modeling of Organs and Structures Generating for Crops -- Modeling Shoot and Root Biomass of Lucerne Crops—New Insights on the Seasonality of Dry Matter Partitioning and Root Maintenance Respiration -- A Morphogenetic Crop Model for Sugar-Beet (Beta vulgaris L.) -- Coupling Process-Based Models and Plant Architectural Models: A Key Issue for Simulating Crop Production -- A Functional-Structural Plant Model—Theories and Its Applications in Agronomy -- New Approach for the Study of Source-Sink Dynamics on Maize -- A Review of Research on the Virtual Plants -- Concepts and Applications of AquaCrop: The FAO Crop Water Productivity Model -- Simulating Biomass and Grain Yields of Barley and Oat Crops with the Sirius Wheat Model -- Application of the CERES-Wheat Model to Winter Wheat Yield Forecast in Beijing -- Improving the Calibration Process of GreenLab Model on the Cotton Plant -- Dry Matter Production and Partitioning in Tomato: Evaluation of a General Crop Growth Model -- Spatial and Seasonal Simulations of Irrigated Processing Tomato -- Development of Feeding Strategies for Cows in Small Scale Dairy Farming Systems in the Highlands of Central Mexico by a Simulation Model and On-Farm Experiments. Phase I: Development of a Novel Framework -- Development of Feeding Strategies for Cows in Small Scale Dairy Farming Systems in the Highlands of Central Mexico by a Simulation Model and On-Farm Experiments. Phase II: On-farm Experiments and Validation of a Simulation Model -- The Dynamic Model of Crop Growth System under the Multi-Environment External Force Action and Result Simulation -- APSIM-Lucerne Validation in the Temperate Climate of New Zealand -- Decision Support System for Greenhouse Environment Control Based on Model -- A Simulation Analysis on Climate Change—Threats or Opportunities for Agriculture -- Spatial Analysis of Soil Water Balance in an Agricultural District of Southern Italy -- Uncertainty in Multi-Criteria Evaluation Techniques When Used for Land Suitability Analysis -- Simulation of Spatial Variability of Organic Matter on the Vineyard Area Using the Model of Artificial Neural Networks -- Integration of a Crop Simulation Model and Remote Sensing Information -- Research of Maize Leaf Disease Identifying Models Based Image Recognition -- Spectral Characteristics of Cotton Infected with Verticillium Wilt and Severity Level of Disease Estimated Models.