Big data integration

This solution was shared by PRE-LAUNCH RESEARCH TEAM
14 May 2021

Description of the innovative solution

Big data Mobile phones Online services Precision agriculture Sensors

The integration of big data (for example, genetic and environmental/climatic data) can optimise agriculture. Big data entails the collection, storage and processing of large amounts of data, often in real time. Big data can be multi-source (e.g. images, videos, remote sensing data), multi-temporal (e.g. collected at different points in time), and multi-resolution (e.g. have variable spatial resolution). Big data is most useful when it is high quality, which means it is relevant, accurate and reliable, produced in a timely fashion, coherent, and accessible. Big data can be used to provide...

The integration of big data (for example, genetic and environmental/climatic data) can optimise agriculture. Big data entails the collection, storage and processing of large amounts of data, often in real time. Big data can be multi-source (e.g. images, videos, remote sensing data), multi-temporal (e.g. collected at different points in time), and multi-resolution (e.g. have variable spatial resolution). Big data is most useful when it is high quality, which means it is relevant, accurate and reliable, produced in a timely fashion, coherent, and accessible. Big data can be used to provide predictive insights in farming operations, improve decision making and farm extension services, drive real-time operational decisions, and redesign business processes for game-changing business models.

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Implementing Big Data in Agriculture
News article, popular press or blog post
Blog post highlighting specific areas in agriculture where big data integration could transform efficiency.
Shared by IFSS Research Team

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