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Agricultural Systems — Template for authors

Publisher: Elsevier

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Guideline source

Categories	Rank	Trend in last 3 yrs
Animal Science and Zoology	#3 of 416	up by 9 ranks
Agronomy and Crop Science	#7 of 347	up by 21 ranks

Journal quality:

High

Last 4 years overview: 696 Published Papers | 6596 Citations

Indexed in: Scopus

Last updated: 14/06/2020

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Insights

General info

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SJR: 0.724

SNIP: 0.788

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CiteRatio: 2.9

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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

4.212

2% from 2018

Impact factor for Agricultural Systems from 2016 - 2019
Year	Value
2019	4.212
2018	4.131
2017	3.004
2016	2.571

Graph view

9.5

30% from 2019

CiteRatio for Agricultural Systems from 2016 - 2020
Year	Value
2020	9.5
2019	7.3
2018	6.1
2017	5.2
2016	4.7

Graph view

Insights

Impact factor of this journal has increased by 2% in last year.
This journal’s impact factor is in the top 10 percentile category.

Insights

CiteRatio of this journal has increased by 30% in last years.
This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.694

13% from 2019

SJR for Agricultural Systems from 2016 - 2020
Year	Value
2020	1.694
2019	1.505
2018	1.355
2017	1.156
2016	1.047

Graph view

2.241

17% from 2019

SNIP for Agricultural Systems from 2016 - 2020
Year	Value
2020	2.241
2019	1.914
2018	1.686
2017	1.62
2016	1.447

Graph view

Insights

SJR of this journal has increased by 13% in last years.
This journal’s SJR is in the top 10 percentile category.

Insights

SNIP of this journal has increased by 17% in last years.
This journal’s SNIP is in the top 10 percentile category.

Agricultural Systems

Guideline source: View

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Elsevier

Agricultural Systems

Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural and social environments. In particular, its aim is to encourage integration of knowledge among those disciplines that underpin agriculture. Many contributions will therefore be multi- or inter-disciplinary. Papers generally focus on either methodological approaches to understanding and managing interactions within or among agricultural systems, or the application of holistic or quantitative systems approaches to a range of problems within agricultural systems and their interactions with other systems. Because of the nature of the readership of Agricultural Systems, the contents of papers should be easily accessible (properly introduced, presented and discussed) to readers from a wide range of disciplines. The scope includes the development and application of systems methodology, including system modeling, simulation and optimization; ecoregional analysis of agriculture and land use; studies on natural resource issues related to agriculture; impact and scenario analyses related to topics such as GMOs, multifunctional land use and global change; and the development and application of decision and discussion support systems; approaches to analyzing and improving farming systems; technology transfer in tropical and temperate agriculture; and the relationship between agricultural development issues and policy. The journal publishes original scientific papers, short communications, review articles and book reviews. Review articles and book reviews should only be submitted after consultation or invitation from either an Editor or the Book Review Editor, respectively. Please bookmark this page as: http://www.elsevier.com/locate/agsy For more information/suggestions/comments please contact Read Less

Animal Science and Zoology

Agronomy and Crop Science

Agricultural and Biological Sciences

Last updated on	13 Jun 2020
ISSN	0308-521X
Impact Factor	High - 1.546
Open Access	No
Sherpa RoMEO Archiving Policy	Green
Plagiarism Check	Available via Turnitin
Endnote Style	Download Available
Bibliography Name	elsarticle-num
Citation Type	Numbered [25]
Bibliography Example	G. E. Blonder, M. Tinkham, T. M. Klapwijk, Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion, Phys. Rev. B 25 (7) (1982) 4515–4532. URL 10.1103/PhysRevB.25.4515

Top papers written in this journal

Open access • Journal Article • DOI: 10.1016/J.AGSY.2017.01.023 •

Big Data in Smart Farming – A review

Sjaak Wolfert¹, Lan Ge¹, •

01 May 2017 - Agricultural Systems

Abstract:

Smart Farming is a development that emphasizes the use of information and communication technology in the cyber-physical farm management cycle. New technologies such as the Internet of Things and Cloud Computing are expected to leverage this development and introduce more robots and artificial intelligence in farming. This is... Smart Farming is a development that emphasizes the use of information and communication technology in the cyber-physical farm management cycle. New technologies such as the Internet of Things and Cloud Computing are expected to leverage this development and introduce more robots and artificial intelligence in farming. This is encompassed by the phenomenon of Big Data, massive volumes of data with a wide variety that can be captured, analysed and used for decision-making. This review aims to gain insight into the state-of-the-art of Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed. Following a structured approach, a conceptual framework for analysis was developed that can also be used for future studies on this topic. The review shows that the scope of Big Data applications in Smart Farming goes beyond primary production; it is influencing the entire food supply chain. Big data are being used to provide predictive insights in farming operations, drive real-time operational decisions, and redesign business processes for game-changing business models. Several authors therefore suggest that Big Data will cause major shifts in roles and power relations among different players in current food supply chain networks. The landscape of stakeholders exhibits an interesting game between powerful tech companies, venture capitalists and often small start-ups and new entrants. At the same time there are several public institutions that publish open data, under the condition that the privacy of persons must be guaranteed. The future of Smart Farming may unravel in a continuum of two extreme scenarios: 1) closed, proprietary systems in which the farmer is part of a highly integrated food supply chain or 2) open, collaborative systems in which the farmer and every other stakeholder in the chain network is flexible in choosing business partners as well for the technology as for the food production side. The further development of data and application infrastructures (platforms and standards) and their institutional embedment will play a crucial role in the battle between these scenarios. From a socio-economic perspective, the authors propose to give research priority to organizational issues concerning governance issues and suitable business models for data sharing in different supply chain scenarios. read more

Topics:

Big data (58%)58% related to the paper, Supply chain (57%)57% related to the paper, Business model (55%)55% related to the paper,

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1,477 Citations

Journal Article • DOI: 10.1016/0308-521X(94)00055-V •

APSIM: a novel software system for model development, model testing and simulation in agricultural systems research

R. L. McCown¹, Graeme Hammer¹, •

01 Jan 1996 - Agricultural Systems

Abstract:

APSIM (Agricultural Production Systems Simulator) is a software system which allows (a) models of crop and pasture production, residue decomposition, soil water and nutrient flow, and erosion to be readily re-configured to simulate various production systems and (b) soil and crop management to be dynamically simulated using c... APSIM (Agricultural Production Systems Simulator) is a software system which allows (a) models of crop and pasture production, residue decomposition, soil water and nutrient flow, and erosion to be readily re-configured to simulate various production systems and (b) soil and crop management to be dynamically simulated using conditional rules. A key innovation is change from a core concept of a crop responding to resource supplies to that of a soil responding to weather, management and crops. While this achieves a sound logical structure for improved simulation of soil management and long-term change in the soil resource, it does so without loss of sensitivity in simulating crop yields. This concept is implemented using a program structure in which all modules (e.g. growth of specific crops, soil water, soil N, erosion) communicate with each other only by messages passed via a central ‘engine’. Using a standard interface design, this design enables easy removal, replacement, or exchange of modules without disruption to the operation of the system. Simulation of crop sequences and multiple crops are achieved by managing connection of crop growth modules to the engine. A shell of software tools has been developed within a WINDOWS environment which includes user-installed editor, linker, compiler, testbed generator, graphics, database and version control software. While the engine and modules are coded in FORTRAN, the Shell is in C++. The resulting product is one in which the functions are coded in the language most familiar to the developers of scientific modules but provides many of the features of object oriented programming. The Shell is written to be aware of UNIX operating systems and be capable of using the processor on UNIX workstations. read more

Topics:

Software system (56%)56% related to the paper, Unix (53%)53% related to the paper, Software (52%)52% related to the paper,

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881 Citations

Journal Article • DOI: 10.1016/S0308-521X(97)00006-1 •

Stakeholder methodologies in natural resource management: a review of principles, contexts, experiences and opportunities

Robin Grimble¹, Kate Wellard¹ •

01 Oct 1997 - Agricultural Systems

Abstract:

Stakeholder analysis (SA) is a powerful tool for policy analysis and formulation, and has considerable potential in natural resource policy and programme development. It is an approach for understanding a system, and changes in it, by identifying key actors or stakeholders and assessing their respective interests in that syst... Stakeholder analysis (SA) is a powerful tool for policy analysis and formulation, and has considerable potential in natural resource policy and programme development. It is an approach for understanding a system, and changes in it, by identifying key actors or stakeholders and assessing their respective interests in that system. It has been developed in response to the challenge of multiple interests and objectives, and particularly the search for efficient, equitable and environmentally sustainable development strategies. This paper reviews the underlying concepts and methods of SA and the underlying links between economic efficiency, equity and environmental concerns. It examines the particular characteristics of natural resources management (NRM) which make it particularly appropriate for the application of SA: these include multiple uses and users of the resource; unclear or open access property rights; temporal trade-offs; the presence of externalities; and imperfect markets. It discusses a classificational system which distinguishes between conflicts and trade-offs, and briefly reviews parallel methodological developments, including cost-benefit analysis (CBA), decision analysis, conflict resolution and social actor perspectives, and suggests areas of complementarity. A number of key issues are raised in the review that have implications for the future direction of SA. These include: the areas in which SA has particular relevance; its value to NRM policy-makers and others in overcoming trade-offs and conflict; the different levels and circumstances in which it might most usefully be applied; and its potential for representing the interests of different groups, including the most disadvantaged, as the basis for interventions. The paper highlights some research and methodological needs directly relevant to natural resource managers and intended beneficiaries, namely: (a) acquiring empirical knowledge and understanding of the key stakeholders involved in the process and the factors governing their resource allocation procedures; (b) developing improved systems, frameworks and methodologies for analysing situations and incorporating stakeholder and institutional concerns; (c) developing knowledge of the opportunities and scope for action by policy-makers and facilitators in the design of interventions and the resolution of conflicts. read more

Topics:

Stakeholder analysis (64%)64% related to the paper, Natural resource management (56%)56% related to the paper, Stakeholder (55%)55% related to the paper,

873 Citations

Journal Article • DOI: 10.1016/J.AGSY.2009.05.002 •

The impacts of climate change on livestock and livestock systems in developing countries: A review of what we know and what we need to know

Philip K. Thornton¹, J.A. van de Steeg¹, •

01 Jul 2009 - Agricultural Systems

Abstract:

Despite the importance of livestock to poor people and the magnitude of the changes that are likely to befall livestock systems, the intersection of climate change and livestock in developing countries is a relatively neglected research area. Little is known about the interactions of climate and increasing climate variability... Despite the importance of livestock to poor people and the magnitude of the changes that are likely to befall livestock systems, the intersection of climate change and livestock in developing countries is a relatively neglected research area. Little is known about the interactions of climate and increasing climate variability with other drivers of change in livestock systems and in broader development trends. In many places in the tropics and subtropics, livestock systems are changing rapidly, and the spatial heterogeneity of household response to change may be very large. While opportunities may exist for some households to take advantage of more conducive rangeland and cropping conditions, for example, the changes projected will pose serious problems for many other households. We briefly review the literature on climate change impacts on livestock and livestock systems in developing countries, and identify some key knowledge and data gaps. We also list some of the broad researchable issues associated with how smallholders and pastoralists might respond to climate change. The agendas of research and development organisations may need adjustment if the needs of vulnerable livestock keepers in the coming decades are to be met effectively. read more

Topics:

Livestock (51%)51% related to the paper, Climate change (51%)51% related to the paper, Pastoralism (50%)50% related to the paper

813 Citations

Journal Article • DOI: 10.1016/J.AGSY.2011.12.004 •

The crop yield gap between organic and conventional agriculture

Tomek de Ponti¹, Bert Rijk¹, •

01 Apr 2012 - Agricultural Systems

Abstract:

A key issue in the debate on the contribution of organic agriculture to the future of world agriculture is whether organic agriculture can produce sufficient food to feed the world. Comparisons of organic and conventional yields play a central role in this debate. We therefore compiled and analyzed a meta-dataset of 362 publi... A key issue in the debate on the contribution of organic agriculture to the future of world agriculture is whether organic agriculture can produce sufficient food to feed the world. Comparisons of organic and conventional yields play a central role in this debate. We therefore compiled and analyzed a meta-dataset of 362 published organic–conventional comparative crop yields. Our results show that organic yields of individual crops are on average 80% of conventional yields, but variation is substantial (standard deviation 21%). In our dataset, the organic yield gap significantly differed between crop groups and regions. The analysis gave some support to our hypothesis that the organic–conventional yield gap increases as conventional yields increase, but this relationship was only rather weak. The rationale behind this hypothesis is that when conventional yields are high and relatively close to the potential or water-limited level, nutrient stress must, as per definition of the potential or water-limited yield levels, be low and pests and diseases well controlled, which are conditions more difficult to attain in organic agriculture. We discuss our findings in the context of the literature on this subject and address the issue of upscaling our results to higher system levels. Our analysis was at field and crop level. We hypothesize that due to challenges in the maintenance of nutrient availability in organic systems at crop rotation, farm and regional level, the average yield gap between conventional and organic systems may be larger than 20% at higher system levels. This relates in particular to the role of legumes in the rotation and the farming system, and to the availability of (organic) manure at the farm and regional levels. Future research should therefore focus on assessing the relative performance of both types of agriculture at higher system levels, i.e. the farm, regional and global system levels, and should in that context pay particular attention to nutrient availability in both organic and conventional agriculture. read more

Topics:

Organic farming (59%)59% related to the paper, Yield gap (57%)57% related to the paper, Crop rotation (57%)57% related to the paper,

763 Citations

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Agricultural Systems format uses elsarticle-num citation style.

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Frequently asked questions

1. Can I write Agricultural Systems in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Agricultural Systems guidelines and auto format it.

2. Do you follow the Agricultural Systems guidelines?

Yes, the template is compliant with the Agricultural Systems guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Agricultural Systems?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Agricultural Systems citation style.

4. Can I use the Agricultural Systems templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Agricultural Systems.

5. Can I use a manuscript in Agricultural Systems that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Agricultural Systems that you can download at the end.

6. How long does it usually take you to format my papers in Agricultural Systems?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Agricultural Systems.

7. Where can I find the template for the Agricultural Systems?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Agricultural Systems's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Agricultural Systems's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Agricultural Systems an online tool or is there a desktop version?

SciSpace's Agricultural Systems is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Agricultural Systems?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Agricultural Systems?”

11. What is the output that I would get after using Agricultural Systems?

After writing your paper autoformatting in Agricultural Systems, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Agricultural Systems's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Agricultural Systems?

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Agricultural Systems. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour	Archiving policy
Green	Can archive pre-print and post-print or publisher's version/PDF
Blue	Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow	Can archive pre-print (ie pre-refereeing)
White	Archiving not formally supported

FYI:

Pre-prints as being the version of the paper before peer review and
Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Agricultural Systems?

The 5 most common citation types in order of usage for Agricultural Systems are:.

S. No.	Citation Style Type
1.	Author Year
2.	Numbered
3.	Numbered (Superscripted)
4.	Author Year (Cited Pages)
5.	Footnote

15. How do I submit my article to the Agricultural Systems?

16. Can I download Agricultural Systems in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Agricultural Systems Endnote style according to Elsevier guidelines.

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Agricultural Systems — Template for authors

Related Journals

Journal Performance & Insights

Impact Factor

CiteRatio

4.212

9.5

Insights

Insights

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

1.694

2.241

Insights

Insights

Agricultural Systems

Agricultural Systems

Top papers written in this journal

Abstract:

Topics:

Abstract:

Topics:

Abstract:

Topics:

Abstract:

Topics:

Abstract:

Topics:

What to expect from SciSpace?

Speed and accuracy over MS Word

Plagiarism Reports via Turnitin

Freedom from formatting guidelines

Easy support from all your favorite tools

Frequently asked questions

Fast and reliable, built for complaince.

No word template required

Verifed journal formats

Trusted by academicians

Fast and reliable,
built for complaince.