Boote K. (ed.). (2019). Advances in crop modelling for a sustainable agriculture. Cambridge (United Kingdom) : Burleigh Dodds Science Publishing. 420 p. (Burleigh Dodds Series in Agricultural Science).
https://doi.org/10.1201/9780429266591
https://doi.org/10.1201/9780429266591
Titre : | Advances in crop modelling for a sustainable agriculture |
Auteurs : | K. Boote, ed. |
Type de document : | E-Book |
Editeur : | Cambridge [United Kingdom] : Burleigh Dodds Science Publishing, 2019 |
Collection : | Burleigh Dodds Series in Agricultural Science |
ISBN/ISSN/EAN : | 978-0-429-26659-1 |
Format : | 420 p. |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.5 - Gestion des ExploitationsThésaurus IAMM AGRICULTURE ; DURABILITE ; MODELE ; SYSTEME DE CULTURE ; AIDE A LA DECISION ; PRISE DE DECISION ; SYSTEME DE PRODUCTION ; EXPLOITATION AGRICOLE ; MODELE DE SIMULATION ; METHODE D'OPTIMISATION |
Résumé : | This collection provides a comprehensive review of key advances in crop modelling, with a focus on developing the next generation of whole-farm models to improve decision making and support for farmers. Chapters review advances in modelling individual components of agricultural systems such as plant responses to environmental conditions, crop growth stages, nutrient and water cycles as well as pest/disease dynamics. The book also addresses the challenges of combining modular sub-systems into whole farm system models, including integration of rotations, intercropping and livestock. Chapters also review the performance of specific models such as APSIM and DSSAT and the challenges of developing decision support systems (DSS) from such models. The book also considers landscape models such as agroecological zone (AEZ) models and Coordinated Global and Regional Assessments (CGRA). The final part of the book reviews wider issues in improving model reliability such as data sharing and the supply of real-time data as well as crop model inter-comparison. |
Note de contenu : |
Part 1: Modelling sub-systems
1. Improving modelling of plant processes 2. Improving models of plant growth and architecture 3. Incorporating genetic information in crop models 4. Improving modelling of nutrient cycles: 5. Improving modelling of water cycles in crop cultivation 6. Improving crop pest/disease modelling Part 2: Developing whole farm system models 7. Whole farm system models in practice 8. Whole farm system models in practice 9. Modelling crop rotations: long-term feedbacks for sustaining yield and soil properties 10. Integrating livestock production into whole farm system models of mixed crop-livestock systems 11. Integrating economic simulation models into whole farm system models 12. Developing decision support systems (DSS) from crop and farm models 13. Using crop/farm models to support decision-making by smallholders Part 3: Developing larger scale models 14. Developing landscape models to model agroecological systems 15. Developing regional models of agroecological systems: Coordinated Global and Regional Assessments (CGRA) Part 4: Modelling issues 16. Improving data sharing for developing, testing, and improving crop and farm models 17. Improving databases for model application for crop and farm models 18. Dealing with uncertainty in crop models 19. Crop model inter-comparison and improvement: 20. The future of crop modelling for sustainable agriculture |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://doi.org/10.1201/9780429266591 |