Mathematical Models of Crop Growth and Yield: Books in Soils, Plants, and the Environment
Autor Allen R. Overman, Richard V. Scholtz IIIen Limba Engleză Hardback – 27 aug 2002
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Paperback (1) | 489.26 lei 6-8 săpt. | |
CRC Press – 5 sep 2019 | 489.26 lei 6-8 săpt. | |
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CRC Press – 27 aug 2002 | 903.43 lei 6-8 săpt. |
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Specificații
ISBN-13: 9780824708252
ISBN-10: 0824708253
Pagini: 344
Dimensiuni: 152 x 229 x 20 mm
Greutate: 0.8 kg
Ediția:New.
Editura: CRC Press
Colecția CRC Press
Seria Books in Soils, Plants, and the Environment
Locul publicării:Boca Raton, United States
ISBN-10: 0824708253
Pagini: 344
Dimensiuni: 152 x 229 x 20 mm
Greutate: 0.8 kg
Ediția:New.
Editura: CRC Press
Colecția CRC Press
Seria Books in Soils, Plants, and the Environment
Locul publicării:Boca Raton, United States
Public țintă
UndergraduateCuprins
INTRODUCTION. Historic Background. Yield Response Models. Growth Models. Environmental Input. Summary. Exercises. References. SEASONAL RESPONSE MODELS. Background. Extended Logistic Model. Extended Multiple Logistic Model. Water Availability. Legume/Grass Interaction. Summary. Exercises. References. GROWTH RESPONSE MODELS. Background. Empirical Growth Model. Extended Empirical Growth Model. Phenomenological Growth Model. Expanded Growth Model. Exercises. References. MATHEMATICAL CHARACTERISTICS OF MODELS. Background. Phenomenological Growth Model. Expanded Growth Model. Rational Basis for Logistic Model. Coupling Among Applied Soil and Plant Components. Accumulation of Dry Matter and Plant Nutrients. Exercises. References. PASTURE SYSTEMS. Background. Quadratic Model. Linear Exponential Model. Summary. Exercises. References. NONLINEAR REGRESSION FOR MATHEMATICAL MODELS. Background. Logistic Model. Probability Model. Confidence Contours. Sensitivity Analysis. Dimensionless Plots. Correlation Coefficient. Exercises. References. Index.
Notă biografică
Overman, Allen R.; Scholtz III, Richard V.
Descriere
Highlighting effective, analytical functions that have been found useful for the comparison of alternative management techniques to maximize water and nutrient resources, this reference describes the application of viable mathematical models in data analysis to increase crop growth and yields. Featuring solutions to various differential equations, the book covers the characteristics of the functions related to the phenomenological growth model. Including more than 1300 literature citations, display equations, tables, and figures and outlining an approach to mathematical crop modeling, Mathematical Models of Crop Growth and Yield will prove an invaluable resource.