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The promise of big data in agriculture is very alluring. After all, agriculture is one of the last great enterprises on the planet that hasn’t been fully digitized and analyzed. It is a biological manufacturing system, wrought with all the complexiti..
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The given data is about cubes which are used for advanced vertical farming. You can insert seeds and they will be grown automatically, the cube controls e.g. watering, ventilation, lighting etc. The cubes are connected via wifi to our backend where m..
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Context
This dataset has data from 2014-2016 data for different commodities purchased across the state of Maharashtra.This dataset is a good start for implementing data visualization and basic time-series forecasting models
Content
The dataset con..
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In farming, a massive amount of data must be collected and managed, e.g. fuel usage rate and performance of machines and total of yield produced. Big data are high-volume, highvelocity and high-variety information assets that demand cost-effective, i..
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This dataset presents the evolution of agricultural production in Benin from the year 2000 to the year 2018. Thus, we have the list of some agricultural products classified by category: cereals, tubers, legumes, …
These data were collected by the Na..
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Agriculture crop production in Tamilnadu, India
Content
This Dataset Describes the Agriculture Crops Production in Tamilnadu, India. This is from https://data.gov.in/ fully Licensed
Acknowledgements
This is done during the Internship at ..
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In general, big data is defined by the 3Vs: volume, velocity, and variety. Volume refers to the exponential growth in the amount of data collected (e.g., high-resolution and high-frequency of satellite and aerial imagery). Velocity refers to the spee..
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Recently I was working on a project which was Agriculture Yield Prediction. The data was not available in proper format to directly apply machine learning techniques so this was the opportunity to create a combined dataset and this helps.
C..
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Originally from Our World in Data
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"The world doesn’t need any more engineers. We didn’t run out of planes and television sets… we ran out of food.”
