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Agricultural Systems

ISSN: 0308-521X

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Datasets associated with articles published in Agricultural Systems

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1970
2025
1970 2025
34 results
  • Data for: Variations in yield gaps and soil fertility along a climatic gradient in smallholder cocoa systems of Ghana
    Data comprise of farmer survey response and on farm data collected from 150 cocoa plantations across three climatic zones in Ghana. Also includes results from soil analysis from all 150 cocoa plantations.
    • Dataset
  • Data for: The impact of intercropping, cover cropping and management practices on soil and woody crops yield under Mediterranean conditions: a meta-analysis of field studies
    We provide the data and meta-data of a data mining performed on in SCOPUS, targeting peer reviewed articles published online until July 2019. The resulting database includes 187 experimental treatments from 46 peer-reviewed articles including the countries: Spain, Italy, France, Portugal, Greece, Turkey, Slovenia, Tunisia, Chile and the United States of America. Our study aimed to assess the implication of crop diversification, tillage and fertilization in Mediterranean orchards on soil nutrients, soil organic carbon and crop yield. For this purpose, we compared the use cover crops in the alleys related to mono-cropping, and the use of organic fertilizers and minimum tillage/no-tillage related to conventional mineral fertilizer and conventional tillage, respectively.
    • Dataset
  • Data and code for study: "A review of types of risks in agriculture: what we know and what we need to know"
    Author to who correspondence may be addressed: Adam M. Komarek (a.komarek@cgiar.org) Most recent edit: September 13th, 2019 Details: the zip file 'analysis.zip' has four main folders for the code and data required to replicate the results in the study titled: "A review of types of risks in agriculture: what we know and what we need to know". Study authors are Adam M. Komarek, Alessandro De Pinto, and Vincent H. Smith 1) a folder 'data' that contains the raw data and processed data from our literature search this includes a file "databaseAll_20190904.xlsx" located in data/dataProc that contains all the studies in our review, including details on, among others, title, abstract, keywords, authors, journal name, if a study was eligible to retain, type of risk(s) studies, country/region, and notes, and details on the country classification and eligibility criteria used. 2) a folder 'output' that contains the figures and (data as .csv for) tables reported in the study. TableS1_ctyRiskDecWide_df.csv lists the number of studies per country by type of risk and time period. 3) a folder 'scripts' contains the R scripts. These scripts are ordered sequentially. 'riskRev.Rproj' is the R project located in the trunk directory. It must be opened to set the project directory, which is needed to read in the data 4) a folder 'WoSSearch' contains details of the Web of Science search.
    • Dataset
  • Data for: Emergy accounting as a support for a strategic planning towards a regional sustainable milk production
    Description of Supplementary Materials are provided in the main text of manuscript.
    • Dataset
  • Data for: A Systems Perspective to Scaling up Food Security Innovations: Lessons from the Canadian International Food Security Research Fund
    Appendixes of projects
    • Dataset
  • Data for: The Value of Seasonal Climate Forecasts for Australian Agriculture
    A file containing the values of seasonal climate forecasts used for Australian agriculture.
    • Dataset
  • Data for: From plot to scale: ex-ante assessment of conservation agriculture in Zambia
    Author: Adam M. Komarek (https://orcid.org/0000-0001-5676-3005) Date last updated: March 29, 2019 Description: This dataset contains the code and data needed to replicate the results reported in the study titled "From plot to scale: ex-ante assessment of conservation agriculture in Zambia". Study authors are Adam M. Komarek, Hoyoung Kwon, Beliyou Haile, Christian Thierfelder, Munyaradzi J. Mutenje, and Carlo Azzarri. Inside the file 'analysis.zip' are 4 main items that include the R project and three main folders: 1) 'caZAM.Rproj' is the R project. It must be opened to set the project directory, which is needed to read in the data. 2) The R scripts are in the folder 'scripts'. There are 12 scripts, which are ordered sequentially. 3) The folder 'data' contains the data used in the scripts. 4) Output from the scripts are in the folder 'output'. Outputs include the figures and tables reported in the study.
    • Dataset
  • Data for: Multi-criteria evolutionary algorithm optimization for horticulture crop management
    Genetic algorithm approaches to land use.
    • Dataset
  • Data for: Trade-offs between food security and forest exploitation by mestizo households in Ucayali, Peruvian Amazon
    We developed an object-oriented modelling tool to simulate the trade-offs between the management of the forest areas and the different dimensions of food security. We used Python a freely distributed interactive, object-oriented programming language. We share here main sections of the code that has been developped.
    • Dataset
  • Data for: A model to examine farm household trade-offs and synergies with an application to smallholders in Vietnam
    FarmDESIGN Model with the case study farms and their data for the paper "A model to examine farm household trade-offs and synergies with an application to smallholders in Vietnam" Lenora Ditzler, Adam M. Komarek, Tsai-Wei Chiang, Stéphanie Alvarez, Shantonu Abe Chatterjee, Carl Timler, Jessica E. Raneri, Natalia Estrada Carmona, Gina Kennedy, Jeroen C.J. Groot
    • Dataset
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