Plant Model Greenlab for Botany and Agronomy

This book provides a general presentation of knowledge and methods in mathematical modelling and simulation of individual plants. The chapters mainly describe the algorithms of mathematical modelling, simulation and computer visualization and prospective aspects related to future developments of pla...

Descripció completa

Guardat en:
Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Reffye, Philippe De (Editor), Kang, Mengzhen (Editor), Jaeger, Marc (Editor), Zhang, Baogui (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edició:1st ed. 2025.
Matèries:
Accés en línia:https://doi.org/10.1007/978-981-97-7541-5
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
Descripció
Sumari:This book provides a general presentation of knowledge and methods in mathematical modelling and simulation of individual plants. The chapters mainly describe the algorithms of mathematical modelling, simulation and computer visualization and prospective aspects related to future developments of plant models. The book highlights the concepts coming from different disciplines and their mathematical integration to build robust, calibrated, and realistic integrative modeling solutions. Its original and groundbreaking focus is on the integration of structural and functional modeling for a living system such as a whole plant (or a crop field, a forest): most of the time, it has been believed among modeling practitioners that choices have to be made between the two, this belief no more prevails in the era of integrative (well-conceptually grounded) simulations. The content of this book is sufficient for a non-specialist to understand the fundamentals of mathematical modelling of plant architecture. Readers or even software developers can supplement their knowledge by consulting the book.
Descripció física:XVI, 781 p. 568 illus. online resource.
ISBN:9789819775415
DOI:10.1007/978-981-97-7541-5