Agricultural – fastest growing robotic sector(eetimes.com)
eetimes.com
Agricultural – fastest growing robotic sector
http://www.eetimes.com/document.asp?doc_id=1329273
7 comments
> but a simple visible light camera just doesn't reveal enough info.
One would think that IR would be very useful in diagnosing plant types and crop coverage.
>80,000 acre grain and soybean farm
I misread that humorously as a '80,000 acre soylent green farm' somehow. Guess it's bedtime for me.
One would think that IR would be very useful in diagnosing plant types and crop coverage.
>80,000 acre grain and soybean farm
I misread that humorously as a '80,000 acre soylent green farm' somehow. Guess it's bedtime for me.
I would like to have a conversation with you or them to convince them otherwise. I have been operating my own ag robotics company for 2 years and have contracts with biggest ag producers in Canada. 80,000 sounded big but not as big as biggest producers of wheat or corn!
Hi, can you shoot me an e-mail? I've got a few questions I'd like to ask.
I'm doing work in venture capital with a specific focus on computer vision. I've looked into the agricultural robotics topic with some scrutiny. Here are some comments:
* feasibility of this new technology is due to the commoditization of three necessary components over the last few years: cameras (improved immensely in both quality and cost due to the smartphone revolution), drones/UAVs/small satellites themselves, and services like AWS that allow small enterprises to crunch huge amounts of geospatial data at little cost.
* there's good reason to believe that the commoditization of those components (i.e. availability and quality) will increase in the next few years.
* drones of the popular quadcopter type are a mixed bag -- their range is very limited because the batteries required to operate them are very heavy. This is tough because they have to survey huge areas. For large areas, many drones are required, which poses a significant overhead cost. However, what's nice about them is that they can be used with surgical precision: if something looks weird, drones can fly very close to the ground and take high-res pictures.
* conversely, what's nice about UAVs and small sats is that they can capture geospatial data on huge areas much more easily (though in lower resolution).
I think we're generally going to see a kind of two-tier approach, in which a high-altitude machine (a UAV mini-plane, or even higher up, a small satellite) does the broad aerial surveillance, and a low-altitude machine, i.e. a quadcopter drone, is sent out for random sampling to cross-reference the geospatial data, and for surgical investigation of abnormalities. The economic benefits of such a scheme could be quite significant for farmers.
I'm also looking forward to drones with more sophisticated sensors -- for example, heat or IR cameras. These are pretty rare on the market so far. Regrettably, they aren't being commoditized in the way that regular cameras are, so progress on this front may be a little slower.
* feasibility of this new technology is due to the commoditization of three necessary components over the last few years: cameras (improved immensely in both quality and cost due to the smartphone revolution), drones/UAVs/small satellites themselves, and services like AWS that allow small enterprises to crunch huge amounts of geospatial data at little cost.
* there's good reason to believe that the commoditization of those components (i.e. availability and quality) will increase in the next few years.
* drones of the popular quadcopter type are a mixed bag -- their range is very limited because the batteries required to operate them are very heavy. This is tough because they have to survey huge areas. For large areas, many drones are required, which poses a significant overhead cost. However, what's nice about them is that they can be used with surgical precision: if something looks weird, drones can fly very close to the ground and take high-res pictures.
* conversely, what's nice about UAVs and small sats is that they can capture geospatial data on huge areas much more easily (though in lower resolution).
I think we're generally going to see a kind of two-tier approach, in which a high-altitude machine (a UAV mini-plane, or even higher up, a small satellite) does the broad aerial surveillance, and a low-altitude machine, i.e. a quadcopter drone, is sent out for random sampling to cross-reference the geospatial data, and for surgical investigation of abnormalities. The economic benefits of such a scheme could be quite significant for farmers.
I'm also looking forward to drones with more sophisticated sensors -- for example, heat or IR cameras. These are pretty rare on the market so far. Regrettably, they aren't being commoditized in the way that regular cameras are, so progress on this front may be a little slower.
"can capture geospatial data on huge areas much more easily"
What are you referring to as a "huge" area? All the work I'm seeing done with drones has been limited to ~700ha/day, if you've got perfect conditions. Normally it's much less.
What do you think drones with heat or IR cameras are most applicable too? When we've got machinery mounted sensors such as a biomass/NDVI camera or a weed-seeker, and the machinery has to make a pass over the field anyways, why not have those sensors onboard the machine? We're seeing Weed-seekers pay for themselves in the first year of use.
What are you referring to as a "huge" area? All the work I'm seeing done with drones has been limited to ~700ha/day, if you've got perfect conditions. Normally it's much less.
What do you think drones with heat or IR cameras are most applicable too? When we've got machinery mounted sensors such as a biomass/NDVI camera or a weed-seeker, and the machinery has to make a pass over the field anyways, why not have those sensors onboard the machine? We're seeing Weed-seekers pay for themselves in the first year of use.
That comment was referring to the use of UAVs or small satellites for broad surveillance (but at a lower resolution).
* AWS is way too expensive, and in most places where aerial mapping happens, you can't upload 30 Gigabyte to the internet faster than you can process it locally on a gaming PC.
* Smartphone cameras are almost sufficient, but mirrorless interchangeable lens cameras save the day.
Completely agree on the rest btw.
* Smartphone cameras are almost sufficient, but mirrorless interchangeable lens cameras save the day.
Completely agree on the rest btw.
IR camera modules that can be plugged into smartphones have been dropping in cost fast and the quality's superb for uncooled IR sensors, so they're not far off being usable.
Would an Autonomous Guided Vehicle be a better idea? Flying strikes me as the expensive part, not moving.
Drones have a "significant overhead cost".
Who knew?
:)
Who knew?
:)
Are you looking to hire?
See also some of the cool work going on at UC Davis; e.g. a phenotyping robot for reconstructing various plant geometry on the fly:
http://ucanr.edu/sites/dcslaughter/UCDavis_High-throughput_P...
(Disclaimer: relative of PI.)
http://ucanr.edu/sites/dcslaughter/UCDavis_High-throughput_P...
(Disclaimer: relative of PI.)
SV ag tech conference at CHM on May 6. If anyone is interested in this, or other agriculture technology. http://www.svagtech.org
I have to point out that this article is not factually accurate. TerrAvion (YC W14), is actually crushing the whole electric drone market and switching people who hold 333 exemptions and own drones to using manned planes for collection tens of thousands of acres at a time.
That's neat to see - I had always expected large vehicles to dominate the surveillance space. Will you guys go unmanned when, 10 years from now, the FAA lets civilians fly Predator like UAVS? Also, what's your perspective on the commercial smallsat imagery market? I've long been of the view that large UAVs will wipe those guys out.
Yes, someday TerrAvion might go unmanned, but as a former military drone unit commander, I both look forward to the day and think it is further off than people in the Valley think. We've had the technology for unmanned trains for 60 years and yet when all you care about is price per ton/passenger mile, sometimes an operator is the last part of the labor fraction to take out. Mapping is a similar price per pixel type operation.
Smallsats are cool, but they are really only attacking price and reliability of satellite--they aren't even close to say Pleaides or WorldView3 constellations on performance, let alone matching RapidEye for agriculture.
Regarding the disposition of the civilian mapping data market, I think if you look at what the military did in Iraq and Afghanistan the unlimited defense budgets of the 2000s might give an idea of what civilians of the 2020s will be doing. The satellites mostly got used by division and theater level staff to answer long term questions, say 20% of questions. Hand launched drones, which were ubiquitous in company storage rooms, but not in operations answered a few micro questions say 5% of aerial data needs. The remainder of planning questions got answered by air-breathing aircraft of one type or another. Not sure why the venture community has not largely not noticed this.
Smallsats are cool, but they are really only attacking price and reliability of satellite--they aren't even close to say Pleaides or WorldView3 constellations on performance, let alone matching RapidEye for agriculture.
Regarding the disposition of the civilian mapping data market, I think if you look at what the military did in Iraq and Afghanistan the unlimited defense budgets of the 2000s might give an idea of what civilians of the 2020s will be doing. The satellites mostly got used by division and theater level staff to answer long term questions, say 20% of questions. Hand launched drones, which were ubiquitous in company storage rooms, but not in operations answered a few micro questions say 5% of aerial data needs. The remainder of planning questions got answered by air-breathing aircraft of one type or another. Not sure why the venture community has not largely not noticed this.
I think VCs are scared by the sensible business plan and the larger capital costs. Drones also get a pass from scrutiny as VCs get excited about investing in the platform, which allows VCs to project their 100x dreams.
I would guess your biggest challenge is sales - convincing farmers that they need this. Is this true? Also - out of curiosity, what do you fly?
I would guess your biggest challenge is sales - convincing farmers that they need this. Is this true? Also - out of curiosity, what do you fly?
True innovation happens in amazing places. I'm really excited to see the future of agriculture enhanced by robots and AI.
One Bay-area company doing awesome stuff, not mentioned in the article, is Blue River Technologies. They make lettuce crops (of all things, lettuce!) insanely efficient with AI and hyper-fast distributed systems computations. This stuff is so cool.
One Bay-area company doing awesome stuff, not mentioned in the article, is Blue River Technologies. They make lettuce crops (of all things, lettuce!) insanely efficient with AI and hyper-fast distributed systems computations. This stuff is so cool.
How Agriculture Majors Are Going To Save The World
http://www.buzzfeed.com/zjm5066/how-agriculture-majors-are-g...
Perhaps if there were more specific imaging sensors on the drones or something, you'd have something, but a simple visible light camera just doesn't reveal enough info.