Agriculture’s Big Data revolution increases efficiency, reduces food waste from farm to table

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[A]bout a third of food produced is lost or wasted every year. Globally, that’s a $940 billion economic hit. Inefficiencies in planting, harvesting, water use and trucking, as well as uncertainty about weather, pests, consumer demand and other intangibles contribute to the loss. On the consumer end, inadequate packaging and labeling can lead to waste and potentially life-threatening illness due to food-borne pathogens.

These are problems desperately in need of solutions and many of those solutions can be found in emerging technologies.

Sensors on fields and crops are starting to provide literally granular data points on soil conditions, as well as detailed info on wind, fertilizer requirements, water availability and pest infestations. GPS units on tractors, combines and trucks can help determine optimal usage of heavy equipment. Data analytics can help prevent spoilage by moving products faster and more efficiently.

For consumers, packaging sensors detect gases emitted as food starts to spoil and verify packaging integrity and freshness. Algorithms can even help create a recipe out of whatever you have in the pantry.

The GLP aggregated and excerpted this blog/article to reflect the diversity of news, opinion, and analysis. Read full, original post: How Big Data And Tech Will Improve Agriculture, From Farm To Table

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