Methods Of Introducing System Models Into Agricultural Research
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| Author | : Lajpat R. Ahuja |
| Publisher | : John Wiley & Sons |
| Total Pages | : 480 |
| Release | : 2020-01-22 |
| Genre | : Technology & Engineering |
| ISBN | : 0891181806 |
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.
| Author | : Lajpat Ahuja |
| Publisher | : |
| Total Pages | : 454 |
| Release | : 2011 |
| Genre | : Agricultural mathematics |
| ISBN | : 9780891181965 |
| Author | : Daniel Wallach |
| Publisher | : Academic Press |
| Total Pages | : 504 |
| Release | : 2013-11-25 |
| Genre | : Business & Economics |
| ISBN | : 0444594469 |
This second edition of Working with Dynamic Crop Models is meant for self-learning by researchers or for use in graduate level courses devoted to methods for working with dynamic models in crop, agricultural, and related sciences. Each chapter focuses on a particular topic and includes an introduction, a detailed explanation of the available methods, applications of the methods to one or two simple models that are followed throughout the book, real-life examples of the methods from literature, and finally a section detailing implementation of the methods using the R programming language. The consistent use of R makes this book immediately and directly applicable to scientists seeking to develop models quickly and effectively, and the selected examples ensure broad appeal to scientists in various disciplines. - 50% new content – 100% reviewed and updated - Clearly explains practical application of the methods presented, including R language examples - Presents real-life examples of core crop modeling methods, and ones that are translatable to dynamic system models in other fields
| Author | : Petraq Papajorgji |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 249 |
| Release | : 2005-12-28 |
| Genre | : Computers |
| ISBN | : 0387281711 |
Software Engineering Techniques Applied to Agricultural Systems presents cutting-edge software engineering techniques for designing and implementing better agricultural software systems based on the object-oriented paradigm and the Unified Modeling Language (UML). The book is divided in two parts: the first part presents concepts of the object-oriented paradigm and the UML notation of these concepts, and the second part provides a number of examples of applications that use the material presented in the first part. The examples presented illustrate the techniques discussed, focusing on how to construct better models using objects and UML diagrams. More advanced concepts such as distributed systems and examples of how to build these systems are presented in the last chapter of the book. The book presents a step-by-step approach for modeling agricultural systems, starting with a conceptual diagram representing elements of the system and their relationships. Furthermore, diagrams such as sequential and collaboration diagrams are used to explain the dynamic and static aspects of the software system.
| Author | : Lajpat R. Ahuja |
| Publisher | : John Wiley & Sons |
| Total Pages | : 464 |
| Release | : 2020-01-22 |
| Genre | : Technology & Engineering |
| ISBN | : 0891183434 |
Completely devoted to applicati on of models to opti mize the use of limited water and nutrients in various climates, this collecti on will inspire confi dence in the capacity of modeling to tackle the biggest threats to secure agriculture. To obtain the most producti on from available water while maintaining natural resources, we need whole system–based quanti tati ve knowledge and tools to help select appropriate crops and manage water and associated inputs on a site-specifi c basis under changing climate. Site-specifi c experimental results are available for limited locati ons, limited periods of ti me, and limited management opti ons. Well-tested process models of cropping systems can extend fi eld research results to long-term weather conditi ons, as well as other climates and soils, allowing us to explore new management opti ons. The case studies in this volume are promising examples of these kinds of soluti ons.
| Author | : Stephen J. Del Grosso |
| Publisher | : John Wiley & Sons |
| Total Pages | : 336 |
| Release | : 2020-01-22 |
| Genre | : Technology & Engineering |
| ISBN | : 0891183450 |
Crop, livestock, and forestry productions systems are important sources and sinks of greenhouses gases, but estimates of the magnitude of gas fluxes are more uncertain than those for other economic sectors such as transportation and electricity generation. Recent improvements in process-level un-derstanding, modeling software, and observational data used for model testing have increased the accuracy of model predictions, but substantial uncertainty remains, particularly regarding the potential for different management practices to mitigate emissions. The chapters in this volume demonstrate that both simple methods and complex models have strengths and limitations depending on stake-holder interest, scale of application, and other factors. Future improvement can be facilitated by or-ganizing model input and testing data into web-accessible databases and by making model algorithms more available and transparent.
| Author | : J. H. M. Thornley |
| Publisher | : CABI |
| Total Pages | : 924 |
| Release | : 2007 |
| Genre | : Technology & Engineering |
| ISBN | : 085199010X |
Role of mathematical models; Dynamic deterministic models; Mathematical programming; Basic biological processes; Growth functions; Simple dynamic growth models; Simple ecological models; Envinment and weather; Plant and crop processes; Crop models; Crop husbandry; Plant diseases and pests; Animal processes; Animal organs; Whole-animal models; Animal products; Animal husbandry; Animal diseases; Solutions exercises; Mathematical glossary.
| Author | : Tom Mueller |
| Publisher | : CRC Press |
| Total Pages | : 290 |
| Release | : 2015-03-02 |
| Genre | : Science |
| ISBN | : 1439867240 |
Conservation planning involves targeted management practices and land use decision-making based on careful analysis of landscape limitations in order to protect soil and water resources. Developing solutions to conservation planning is of worldwide interest due to anticipated population growth, growing demand of feedstocks for biofuels, decreasing
| Author | : Daoliang Li |
| Publisher | : Springer |
| Total Pages | : 620 |
| Release | : 2016-11-11 |
| Genre | : Computers |
| ISBN | : 3319483544 |
The two volumes IFIP AICT 478 and 479 constitute the refereed post-conference proceedings of the 9th IFIP WG 5.14 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2015, held in Beijing, China, in September 2015. The 122 revised papers included in this volume were carefully selected from 237 submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including intelligent sensing, monitoring and automatic control technology; key technology and models of the Internet of things; intelligent technology for agricultural equipment; computer vision; computer graphics and virtual reality; computer simulation, optimization and modeling; cloud computing and agricultural applications; agricultural big data; decision support systems and expert systems; 3s technology and precision agriculture; quality and safety of agricultural products; detection and tracing technology; and agricultural electronic commerce technology.
| Author | : Mukhtar Ahmed |
| Publisher | : Springer Nature |
| Total Pages | : 432 |
| Release | : 2020-07-13 |
| Genre | : Technology & Engineering |
| ISBN | : 9811547289 |
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.
