Modeling Crop Production Systems


Book Description

The use of simulation models is a necessity and also an aid in the decision-making process in sustainable agricultural systems. Organizing the experimental knowledge of crop production systems without the book keeping and deductive methods of mathematics is very difficult. This book aims to guide readers in the process by which the properties of th




Crop Modeling and Decision Support


Book Description

"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.




Crop Systems Dynamics


Book Description

GECROS is presented here in an open style, rather than as a ‘black-box’.




Agricultural System Models in Field Research and Technology Transfer


Book Description

Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Res




Agricultural Systems Modeling and Simulation


Book Description

Offers a treatment of modern applications of modelling and simulation in crop, livestock, forage/livestock systems, and field operations. The book discusses methodologies from linear programming and neutral networks, to expert or decision support systems, as well as featuring models, such as SOYGRO, CROPGRO and GOSSYM/COMAX. It includes coverage on evaporation and evapotranspiration, the theory of simulation based on biological processes, and deficit irrigation scheduling.







Methods of Introducing System Models into Agricultural Research


Book Description

Why model? Agricultural system models enhance and extend field research...to synthesize and examine experiment data and advance our knowledge faster, to extend current research in time to predict best management systems, and to prepare for climate-change effects on agriculture. The relevance of such models depends on their implementation. Methods of Introducing System Models into Agricultural Research is the ultimate handbook for field scientists and other model users in the proper methods of model use. Readers will learn parameter estimation, calibration, validation, and extension of experimental results to other weather conditions, soils, and climates. The proper methods are the key to realizing the great potential benefits of modeling an agricultural system. Experts cover the major models, with the synthesis of knowledge that is the hallmark of the Advances in Agricultural Systems Modeling series.




Systems Simulation in Agriculture


Book Description

Principles of model-building. Why the computer? A definition of system. A general statement of procedure in systems simulation. Concluding remarks. Model-construction. Getting started. The process of modelling. Computer considerations. Choosing a language. Design criteria for computer modelling. Stochastic specification. The case for and against stochasticity in modelling. Autocorrelation. Generating random variates. Some final words. Model-evaluation. Testing models against design criteria (verification). Validation of simulation models. Validation procedures. A long-term view of model-evaluation. Design of simulation experiments. Factors, treatments and replicates. Computer-based experimentation. Optimum-seeking designs. Model-application. Systems involvement in the research process. Systems involvement in farmer decision making and business control. Design pointers for successful agricultural-information system designs. Future development in agricultural-information systems. Skeleton models in applied research direction.




Systems Modeling


Book Description

Achieving food security and economic developmental objectives in the face of climate change and rapid population growth requires systems modelling approaches, for example in the design of sustainable agriculture farming systems. Such approaches increase our understanding of system responses to different soil and climatic conditions, and provide insights into the effects of various variable climate change scenarios, providing valuable information for decision-makers. Further, in the agricultural sector, systems modelling can help optimise crop management and adaptation measures to boost productivity under variable climatic conditions. Presenting key outcomes from crop models used in agricultural systems this book is a valuable resource for professionals interested in using modelling approaches to manage the growth and improve the quality of various crops.