Deep Learning For Farming and Food Recognition

Published 2019-03

Deep learning is being used to help identify food for a number of reasons: to help computers have more robust conversations with us about what we’re eating, to calculate the number of calories in a dish, and to spot spoiled or tainted food.

Source

Verdict

persistedThe same trend is listed again within the publisher's next two editions (D33).

Continued as ftsg-tech-trends-2020-245

A trend is graded on whether the publisher keeps it, never as a hit or a miss (D6, D33).

All captured fields

rank: 221
section: Agricultural Technologies
subject: Deep Learning For Farming and Food Recognition
trend number: 220
years on list: THIRD YEAR ON THE LIST
page: 257
confidence: medium
note: Title and order from the contents pages in the SlideShare transcript of the publisher upload (part 1). Quote and years-on-list tag from part 2 (https://web.archive.org/web/20190603232304/https://www.slideshare.net/AmyWebb33/2019-emerging-tech-trends-report-part-2-of-2). The Act Now / Informs Strategy / Revisit Later / Keep Vigilant Watch quadrant is a graphic and cannot be read from the transcript.