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Working with dynamic crop models : methods, tools and examples for agriculture and environment /

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 introducti...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Wallach, Daniel, 1942- (Editor ), Makowski, David, 1972- (Editor ), Jones, James Wigington, 1944- (Editor ), Brun, Fran�cois (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press/Elsevier Science, [2014]
Edición:Second edition.
Temas:
Acceso en línea:Texto completo

MARC

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035 |a (OCoLC)865335096  |z (OCoLC)865657918  |z (OCoLC)879495538  |z (OCoLC)880404506  |z (OCoLC)907367980  |z (OCoLC)1087370552 
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245 0 0 |a Working with dynamic crop models :  |b methods, tools and examples for agriculture and environment /  |c [edited by] Daniel Wallach, David Makowski, James W. Jones, Francois Brun. 
250 |a Second edition. 
264 1 |a London :  |b Academic Press/Elsevier Science,  |c [2014] 
300 |a 1 online resource (xvi, 487 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a 1. Basics of agricultural system models -- 2. Statistical notions useful for modeling -- 3. The R programming language software -- 4. Simulation with dynamic system models -- 5. Uncertainty and sensitivity analysis -- 6. Parameter estimation with classical methods (model calibration) -- 7. Parameter estimation with Bayesian methods -- 8. Data assimilation for dynamic models -- 9. Model evaluation -- 10. Putting it all together in a case study. 
520 |a 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. 
588 0 |a Print version record. 
650 0 |a Crop yields  |x Mathematical models. 
650 0 |a Crops  |x Growth  |x Mathematical models. 
650 6 |a Cultures  |0 (CaQQLa)201-0024738  |x Rendement  |0 (CaQQLa)201-0024738  |x Mod�eles math�ematiques.  |0 (CaQQLa)201-0379082 
650 6 |a Cultures  |0 (CaQQLa)201-0143828  |x Croissance  |0 (CaQQLa)201-0143828  |x Mod�eles math�ematiques.  |0 (CaQQLa)201-0379082 
650 7 |a TECHNOLOGY & ENGINEERING  |x Agriculture  |x General.  |2 bisacsh 
650 7 |a Crop yields  |x Mathematical models  |2 fast  |0 (OCoLC)fst00883945 
650 7 |a Crops  |x Growth  |x Mathematical models  |2 fast  |0 (OCoLC)fst00884024 
700 1 |a Wallach, Daniel,  |d 1942-  |e editor. 
700 1 |a Makowski, David,  |d 1972-  |e editor. 
700 1 |a Jones, James Wigington,  |d 1944-  |e editor. 
700 1 |a Brun, Fran�cois,  |e editor. 
776 0 8 |i Print version:  |t Working with dynamic crop models.  |b 2nd edition.  |d Amsterdam : Academic Press, 2013  |z 9780123970084  |w (OCoLC)858004520 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780123970084  |z Texto completo