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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Covertype Dataset Data for predicting forest cover type strictly from cartographic variables. Many geographical features given. 581,012 Text Classification 1998 [310] [311] J. Blackard et al. Abscisic Acid Signaling Network Dataset Data for a plant signaling network. Goal is to determine set of rules that governs the network. None. 300 Text

  3. Crop yield - Wikipedia

    en.wikipedia.org/wiki/Crop_yield

    In agriculture, the yield is a measurement of the amount of a crop grown, or product such as wool, meat or milk produced, per unit area of land. The seed ratio is another way of calculating yields. Innovations, such as the use of fertilizer, the creation of better farming tools, new methods of farming and improved crop varieties, have improved ...

  4. Crop simulation model - Wikipedia

    en.wikipedia.org/wiki/Crop_simulation_model

    CropSyst, a multi-year multi-crop daily time-step crop simulation model developed by a team at Washington State University's Department of Biological Systems Engineering. [ 4 ] DSSAT , the Decision Support System for Agro-technology Transfer, is a multi-crop, multi-year crop simulation model which evolved from the IBSNAT (1982-1993) and ICASA ...

  5. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  6. Food and Agriculture Organization Corporate Statistical ...

    en.wikipedia.org/wiki/Food_and_Agriculture...

    FAOSTAT serves as the foremost authoritative source of agrifood systems data, including food security, agriculture and nutrition; agriculture production and trade; prices of commodities; investment; population and employment in agrifood systems; food and diet; land, inputs and sustainability, climate change and agrifood systems emissions; structural data on agriculture; and it includes data ...

  7. Soil Moisture Active Passive - Wikipedia

    en.wikipedia.org/wiki/Soil_Moisture_Active_Passive

    The instruments sense conditions in the top 5 cm of soil through moderate vegetation cover to yield globally mapped estimates of soil moisture and its freeze-thaw state. The spacecraft orbits Earth once every 98.5 minutes and repeats the same ground track every eight days.

  8. Agricultural productivity - Wikipedia

    en.wikipedia.org/wiki/Agricultural_productivity

    Wheat yields in least developed countries since 1961. The steep rise in crop yields in the U.S. began in the 1940s. The percentage of growth was fastest in the early rapid growth stage. In developing countries maize yields are still rapidly rising. [6] Productivity is driven by changes in either agricultural technique or improvements in technology.

  9. Outline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Outline_of_machine_learning

    ML involves the study and construction of algorithms that can learn from and make predictions on data. [3] These algorithms operate by building a model from a training set of example observations to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions.