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期刊名:Agricultural systems

缩写:AGR SYST

ISSN:0308-521X

e-ISSN:1873-2267

IF/分区:6.2/Q1

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共收录本刊相关文章索引77
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
James W Jones,John M Antle,Bruno Basso et al. James W Jones et al.
Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they ...
C Hwang,M J Correll,S A Gezan et al. C Hwang et al.
The next generation of gene-based crop models offers the potential of predicting crop vegetative and reproductive development based on genotype and weather data as inputs. Here, we illustrate an approach for developing a dynamic modular gen...
M Donatelli,R D Magarey,S Bregaglio et al. M Donatelli et al.
The improvement and application of pest and disease models to analyse and predict yield losses including those due to climate change is still a challenge for the scientific community. Applied modelling of crop diseases and pests has mostly ...
Sander J C Janssen,Cheryl H Porter,Andrew D Moore et al. Sander J C Janssen et al.
Agricultural modeling has long suffered from fragmentation in model implementation. Many models are developed, there is much redundancy, models are often poorly coupled, model component re-use is rare, and it is frequently difficult to appl...
Susan M Capalbo,John M Antle,Clark Seavert Susan M Capalbo
Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges ...
John M Antle,James W Jones,Cynthia E Rosenzweig John M Antle
Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agr...
John M Antle,James W Jones,Cynthia Rosenzweig John M Antle
The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products. In the Introduction to this Special Issue, we described a vision for acc...
Dianne Mayberry,Andrew Ash,Di Prestwidge et al. Dianne Mayberry et al.
Livestock provides an important source of income and nourishment for around one billion rural households worldwide. Demand for livestock food products is increasing, especially in developing countries, and there are opportunities to increas...
Peter Alexander,Calum Brown,Almut Arneth et al. Peter Alexander et al.
Losses at every stage in the food system influence the extent to which nutritional requirements of a growing global population can be sustainably met. Inefficiencies and losses in agricultural production and consumer behaviour all play a ro...
Pablo Alarcon,Eric M Fèvre,Maurice K Murungi et al. Pablo Alarcon et al.
Nairobi is a large rapidly-growing city whose demand for beef, mutton and goat products is expected to double by 2030. The study aimed to map the Nairobi beef, sheep and goat systems structure and flows to identify deficiencies and vulnerab...