Cammarano D. (ed.), Evert F.K. Van (ed.), Kempenaar C. (ed.). (2023). Precision agriculture: modelling. Cham (Suisse) : Springer. 301 p. (Progress in Precision Agriculture).
https://doi.org/10.1007/978-3-031-15258-0
https://doi.org/10.1007/978-3-031-15258-0
Titre : | Precision agriculture: modelling |
Auteurs : | D. Cammarano, ed. ; F.K. Van Evert, ed. ; C. Kempenaar, ed. |
Type de document : | E-Book |
Editeur : | Cham [Suisse] : Springer, 2023 |
Collection : | Progress in Precision Agriculture |
ISBN/ISSN/EAN : | 978-3-031-15260-3 |
Format : | 301 p. |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.4 - Production Agricole. Système de ProductionThésaurus IAMM AGRICULTURE DE PRECISION ; AGRICULTURE NUMERIQUE ; SYSTEME DE PRODUCTION ; MODELE ; MODELE DE SIMULATION ; AIDE A LA DECISION ; ETUDE DE CAS ; MOTIVATION ; COMPORTEMENT |
Résumé : | This book describes how models are used to monitor crops and soils in precision agriculture, and how they are used to support farmers decisions. The introductory section starts with an overview of precision agriculture from the early days of yield monitoring in the 1980s to the present, with a focus on the role of models. The section continues with descriptions of the different kinds of models and the opportunities for their application in precision agriculture. The section concludes with a chapter on socio-economic drivers and obstacles to the adoption of precision agriculture technologies. The middle section of the book explores the state-of-the-art in modeling for precision agriculture. Individual chapters focus on the major processes in precision agriculture: water use, nitrogen and other amendments, as well as weeds, pests and diseases. The final section contains a series of short chapters that each describe a commercial, model-based service that is currently available to farmers. The book aims to provide useful information to graduate-level professionals that want to broaden their knowledge of precision agriculture; to scientists who want to learn about using academic knowledge in practical farming; and to farmers, farm consultants and extension workers who want to increase their understanding of the science behind some of the commercial software available to the farming community. |
Note de contenu : |
Modelling for Precision Agriculture
Introduction Process-Based Modelling of SoilCrop Interactions for Site-Specific Decision Support in Crop Management Models in Crop Protection Development and Adoption of Model-Based Practices in Precision Agriculture State of the Art Process-Based Models and Simulation of Nitrogen Dynamics Modelling Soil Water Dynamics Data Fusion in a Data-Rich Era Data Assimilation of Remote Sensing Data into a Crop Growth Model Case Studies Adapt-N® (Yara International) Granular Agronomy Nitrogen Management xarvio® Digital Farming Solutions WatchITgrow Precision Agriculture in Rice Farming AgSkyNet: Harnessing the Power of Sky and Earth for Precision Agriculture Dacom Precision Agriculture System Akkerweb and farmmaps: Development of Open Service Platforms for Precision Agriculture |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://doi.org/10.1007/978-3-031-15258-0 |