January 19, 2021

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Working with Dynamic Crop Models

Working with Dynamic Crop Models
Author : Daniel Wallach,David Makowski,James W. Jones,Francois Brun
Publisher : Academic Press
Release Date : 2013-11-25
Category : Technology & Engineering
Total pages :504
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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. New to this edition: 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

Working with Dynamic Crop Models

Working with Dynamic Crop Models
Author : Daniel Wallach,David Makowski,James W. Jones,Francois Brun
Publisher : Academic Press
Release Date : 2014-02-11
Category : Mathematics
Total pages :487
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This textbook covers 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.

Crop Modeling and Decision Support

Crop Modeling and Decision Support
Author : Weixing Cao,Jeffrey W. White,Enli Wang
Publisher : Springer Science & Business Media
Release Date : 2010-07-10
Category : Technology & Engineering
Total pages :333
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"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 and Control of Greenhouse Crop Growth

Modeling and Control of Greenhouse Crop Growth
Author : Francisco Rodríguez,Manuel Berenguel,José Luis Guzmán,Armando Ramírez-Arias
Publisher : Springer
Release Date : 2014-11-01
Category : Technology & Engineering
Total pages :250
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A discussion of challenges related to the modeling and control of greenhouse crop growth, this book presents state-of-the-art answers to those challenges. The authors model the subsystems involved in successful greenhouse control using different techniques and show how the models obtained can be exploited for simulation or control design; they suggest ideas for the development of physical and/or black-box models for this purpose. Strategies for the control of climate- and irrigation-related variables are brought forward. The uses of PID control and feedforward compensators, both widely used in commercial tools, are summarized. The benefits of advanced control techniques—event-based, robust, and predictive control, for example—are used to improve on the performance of those basic methods. A hierarchical control architecture is developed governed by a high-level multiobjective optimization approach rather than traditional constrained optimization and artificial intelligence techniques. Reference trajectories are found for diurnal and nocturnal temperatures (climate-related setpoints) and electrical conductivity (fertirrigation-related setpoints). The objectives are to maximize profit, fruit quality, and water-use efficiency, these being encouraged by current international rules. Illustrative practical results selected from those obtained in an industrial greenhouse during the last eight years are shown and described. The text of the book is complemented by the use of illustrations, tables and real examples which are helpful in understanding the material. Modeling and Control of Greenhouse Crop Growth will be of interest to industrial engineers, academic researchers and graduates from agricultural, chemical, and process-control backgrounds.

Advances in Crop Modelling for a Sustainable Agriculture

Advances in Crop Modelling for a Sustainable Agriculture
Author : Kenneth Boote
Publisher : Burleigh Dodds Series in Agric
Release Date : 2019-10-22
Category : Technology & Engineering
Total pages :420
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Crop modelling has huge potential to improve decision making in farming. This collection reviews advances in next-generation models focused on user needs at the whole farm system and landscape scale.

Environmental Software Systems. Frameworks of eEnvironment

Environmental Software Systems. Frameworks of eEnvironment
Author : Jiri Hrebicek,Gerald Schimak,Ralf Denzer
Publisher : Springer
Release Date : 2011-06-28
Category : Computers
Total pages :680
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This book constitutes the refereed proceedings of the 9th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2011, held in Brno, Czech Republic, in June 2011. The 68 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in the following topical sections: eEnvironment and cross-border services in digital agenda for Europe; environmental information systems and services - infrastructures and platforms; semantics and environment; information tools for global environmental assessment; climate services and environmental tools for urban planning and climate change - applications and services.

Landscape Modelling and Decision Support

Landscape Modelling and Decision Support
Author : Wilfried Mirschel,Vitaly V. Terleev,Karl-Otto Wenkel
Publisher : Springer Nature
Release Date : 2020-03-02
Category : Science
Total pages :593
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This book contributes to a deeper understanding of landscape and regional modelling in general, and its broad range of facets with respect to various landscape parameters. It presents model approaches for a number of ecological and socio-economic landscape indicators, and also describes spatial decision support systems (DSS), frameworks, and model-based tools, which are prerequisites for deriving sustainable decision and solution strategies for the protection of comprehensively functioning landscapes. While it mainly focuses on the latest research findings in regional modelling and DSS in Europe, it also highlights the work of scientists from Russia. The book is intended for landscape modellers, scientists from various fields of landscape research, university teaching staff, and experts in landscape planning and management, landscape conservation and landscape policy.

Economic Models of Tropical Deforestation: A Review

Economic Models of Tropical Deforestation: A Review
Author : David Kaimowitz,Arild Angelsen
Publisher : CIFOR
Release Date : 1998-01-01
Category : Deforestation
Total pages :139
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Types of economic deforestation models. Household and firm-level models. Regional-level models. National and macro-level models. Priority areas for future research.

Remote Sensing Applications for Agriculture and Crop Modelling

Remote Sensing Applications for Agriculture and Crop Modelling
Author : Piero Toscano
Publisher : MDPI
Release Date : 2020-02-13
Category : Science
Total pages :308
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Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling, provide insight into the diversity and the complexity of developments of RS applications in agriculture. Five thematic focuses have emerged from the published papers: yield estimation, land cover mapping, soil nutrient balance, time-specific management zone delineation and the use of UAV as agricultural aerial sprayers. All contributions exploited the use of remote sensing data from different platforms (UAV, Sentinel, Landsat, QuickBird, CBERS, MODIS, WorldView), their assimilation into crop models (DSSAT, AQUACROP, EPIC, DELPHI) or on the synergy of Remote Sensing and modeling, applied to cardamom, wheat, tomato, sorghum, rice, sugarcane and olive. The intended audience is researchers and postgraduate students, as well as those outside academia in policy and practice.

Crop Systems Biology

Crop Systems Biology
Author : Xinyou Yin,Paul C. Struik
Publisher : Springer
Release Date : 2015-11-11
Category : Technology & Engineering
Total pages :233
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The sequencing of genomes has been completed for an increasing number of crop species, and researchers have now succeeded in isolating and characterising many important QTLs/genes. High expectations from genomics, however, are waving back toward the recognition that crop physiology is also important for realistic improvement of crop productivity. Complex processes and networks along various hierarchical levels of crop growth and development can be thoroughly understood with the help of their mathematical description – modelling. The further practical application of these understandings also requires quantitative predictions. In order to better support design, engineering and breeding for new crops and cultivars for improving agricultural production under global warming and climate change, there is an increasing call for an interdisciplinary research approach, which combines modern genetics and genomics, traditional physiology and biochemistry, and advanced bioinformatics and modelling. Such an interdisciplinary approach has been practised in various research groups for many years. However, it does not seem to be fully covered in the format of book publications. We want to initiate a book project on crop systems biology - narrowing the gaps between genotypes and phenotypes and the gaps between crop modelling and genetics/genomics, for publication in 2013/2014. The book will be meant for those scientists and graduate students from fundamental plant biology and applied crop science who are interested in bridging the gap between these two fields. We have invited a group of scientists (who have very good track records in publishing excellent papers in this field or in a closely related area) to contribute chapters to this new book, and they have agreed to do so.​

Mathematical Models in Agriculture

Mathematical Models in Agriculture
Author : J. H. M. Thornley,J. France
Publisher : CABI
Release Date : 2007
Category : Technology & Engineering
Total pages :906
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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.

Dynamic Models in Biology

Dynamic Models in Biology
Author : Stephen P. Ellner,John Guckenheimer
Publisher : Princeton University Press
Release Date : 2011-09-19
Category : Science
Total pages :352
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From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering.

Environmental Software Systems. Infrastructures, Services and Applications

Environmental Software Systems. Infrastructures, Services and Applications
Author : Ralf Denzer,Robert M. Argent,Gerald Schimak,Jiří Hřebíček
Publisher : Springer
Release Date : 2015-02-09
Category : Computers
Total pages :611
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This book constitutes the refereed proceedings of the 11th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2015, held in Melbourne, Australia, in March 2015. The 62 revised full papers presented were carefully reviewed and selected from 104 submissions. The papers are organized in the following topical sections: information systems, information modeling and semantics; decision support tools and systems; modelling and simulation systems; architectures, infrastructures, platforms and services; requirements, software engineering and software tools; analytics and visualization; and high-performance computing and big data.

Predicting Crop Phenology

Predicting Crop Phenology
Author : Tom Hodges
Publisher : CRC Press
Release Date : 1990-12-26
Category : Technology & Engineering
Total pages :248
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Predicting Crop Phenology focuses on an analysis of the issues faced in predicting the phenology of crop plants and weeds. It discusses how these issues have been handled by active crop growth simulation model developers and emphasizes areas such as the role of modeling in agricultural research and the roles of temperature, length of day, and water stress in plant growth. This comprehensive text also discusses modeling philosophy and programming techniques in modeling crop development and growth. It presents up-to-date information on phenology models for wheat, maize, sorghum, rice, cotton, and several weed species. Predicting Crop Phenology reviews important data for agricultural engineers, plant physiologists, agricultural consultants, researchers, extension agents, model developers, agricultural science instructors and students.

Modelling Crop-weed Interactions

Modelling Crop-weed Interactions
Author : Martin J. Kropff,H. H. van Laar
Publisher : Int. Rice Res. Inst.
Release Date : 1993-01-01
Category : Technology & Engineering
Total pages :274
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General introduction; Empirical models for crop-weed competition; Eco-physiological models for crop-weed competition; Mechanisms of competition for light; Mechanisms of competition for water; Mechanisms of competition for nitrogen; Eco-physiological characterization of the species; Understanding crop-weed interaction in field situation; The impact of environmental and genetic factors; Practical applications.