Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science
James W. Jones,John M. Antle,Bruno Basso,Kenneth J. Boote,Richard T. Conant,Ian Foster,H. Charles J. Godfray,Mario Herrero,Richard E. Howitt,Sander Janssen,Brian Keating,Rafael Muñoz-Carpena,Cheryl H. Porter,Cynthia Rosenzweig,Tim Wheeler +14 more
TLDR
It is concluded that multiple platforms and multiple models are needed for model applications for different purposes, and the Use Cases provide a useful framework for considering capabilities and limitations of existing models and data.About:
This article is published in Agricultural Systems.The article was published on 2017-07-01 and is currently open access. It has received 251 citations till now. The article focuses on the topics: Systems science & Information system.read more
Citations
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DissertationDOI
Scaling understanding of biochar aging impacts on soil water and crop yields
TL;DR: In this article, a series of integrated studies across the laboratory, greenhouse, field, and modeling scales were presented to advance understanding of the impacts of biochar type and biochar aging on soil physical and chemical properties, soil water dynamics, and crop productivity.
Journal ArticleDOI
Conceptual framework of a decentral digital farming system for resilient and safe data management
TL;DR: In this article , the authors present the state of the art of digitization in agriculture and points out vulnerabilities in digitized farming processes, including the lack of interoperability and the dependency on internet connection.
Journal ArticleDOI
An Agent-Based Crop Model Framework for Heterogeneous Soils
TL;DR: In this paper, an agent-based model (ABM) that considers the soil heterogeneity and water exchanges is proposed, where each agent is characterized by an individual dynamic model, which describes the local crop growth.
Book ChapterDOI
Precision Agriculture: A New Tool for Development
Abstract: Precision agriculture is a management system that aims to reduce inputs like seeds, water, and energy; protect the environment; and maximize profitability. Precision agriculture uses advanced technology like positioning technology, geographical information systems, satellite navigation, and remote sensing. There are different factors affect the adoption of precision agriculture like farm size, legal affairs, and social interaction. Under climate change and increases in world population, adoption of precision agriculture could assist farmers to face various challenges to achieve ideal production and maximizing profitability. Information, technology, and management are considered the backbone of the precision agriculture system, and combining these elements reduces inputs and maximizes productivity. Different threats attacked precision agriculture including threats to confidentiality, threats to integrity, threats to availability, and crowding of the spectrum signal. This chapter explains the different roles of precision agriculture in developing agricultural production.
Journal ArticleDOI
An Analysis of Agricultural Systems Modelling Approaches and Examples to Support Future Policy Development under Disruptive Changes in New Zealand
TL;DR: In this article , the authors analyse modelling approaches and available agricultural systems' model examples per thematic applications at the regional to national scale to define the best options for the national policy development.
References
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Book
Spatial Econometrics: Methods and Models
TL;DR: In this article, a typology of Spatial Econometric Models is presented, and the maximum likelihood approach to estimate and test Spatial Process Models is proposed, as well as alternative approaches to Inference in Spatial process models.
Journal ArticleDOI
Estimación lineal de los requerimientos nutricionales del NRC para ganado de leche
TL;DR: Linear regression equations have been obtained to directly calculate the nutrient requirements of dairy cattle (TDN, DE, ME, NEL,CP, Ca, P, Vitamin A and Vitamin D) on different physiological stages: maintenance, pregnancy and milk production based on NRC nutrient requirements tables.
Journal ArticleDOI
Climate change : the IPCC scientific assessment
TL;DR: A review of the intergovernmental panel on climate change report on global warming and the greenhouse effect can be found in this paper, where the authors present chemistry of greenhouse gases and mathematical modelling of the climate system.
Journal ArticleDOI
The DSSAT cropping system model
James W. Jones,Gerrit Hoogenboom,Cheryl H. Porter,Kenneth J. Boote,William D. Batchelor,L. A. Hunt,Paul W. Wilkens,Upendra Singh,Arjan J. Gijsman,Joe T. Ritchie +9 more
TL;DR: The benefits of the new, re-designed DSSAT-CSM will provide considerable opportunities to its developers and others in the scientific community for greater cooperation in interdisciplinary research and in the application of knowledge to solve problems at field, farm, and higher levels.
Journal ArticleDOI
Climate Trends and Global Crop Production Since 1980
TL;DR: It was found that in the cropping regions and growing seasons of most countries, with the important exception of the United States, temperature trends from 1980 to 2008 exceeded one standard deviation of historic year-to-year variability.
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