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AI image recognition models are powering the world’s next agricultural workforce: Watch as these drones use multispectral color grading to determine the ripeness + sugar content of apples, then gently pick them:
1,997,818 次观看 • 3 年前 •via X (Twitter)
9 条评论

Agriculture may be one of the highest impact operations for AI. Here’s an (unlisted) YouTube video of an earlier robotic apple harvester, developed by Monash University. This ground-based version had a cost of around $80k.

Looks like The Matrix for apples

Have you seen the AI bug detection laser zappers?

Yes, need one for mosquitoes 🦟

That's 10x much expensive and slower than hiring humans. 😜

The question is what is the performance and cost. This is what counts the most in agricultural. If it is not profitable for the plants, it will not be implemented for decades. But the idea and execution are really great.

Thanks for solving the illegal immigration problem!

Arr, the Drones, the missing footage of Château Picard!

How many takes were required for the 30 seconds of footage which makes this look viable?
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“Gay friends of mine say [the word “fag”] is offensive to them—even though many of them use it. It’s the same argument as ‘the n word’ for black people. They use it amongst themselves to reclaim that word…but if a white person uses it at then, it’s obviously a disgusting, racist slur. I think we all know that.” I reject this so much. There aren’t words that are off-limits to certain people because of their skin color, sex, or sexual orientation. It’s absurd for gays to use the word “fag” and then be mad when straights use it—just like it’s absurd for blacks to use the word “nigger” and then be mad when whites use it. Pick a lane.
Natalie Jean Beisner
529,953 次观看 • 8 个月前


