8 ms·
The land grab for farm data
- cjf4 10y ago>Farm data is expected to be a $20–$25 billion revenue opportunity, but we haven’t yet determined how the data can be collected, structured, stored and shared, let alone monetized. For crying out loud...
- rayuela 10y agoThat was really funny to read. "We have no idea how money will be made off this data, but it's going to be around $20-25 billion/year" rofl
- zeveb 10y agoOne can know that a system can be improved by a certain amount without knowing who will pay for it; knowing how much it can be improved and how expensive it currently is, is enough to place an upper bound on how much someone would pay to improve it.
- Analemma_ 10y agoOnce again, Silicon Valley the real place is better satire than Silicon Valley the TV show.
- deleted 10y ago[deleted]
- vasaulys 10y agoThis seems to confirm just how important the price of data is for ML & AI based startups. Methinks there is a market alone for data companies, not even those that are necessarily doing anything productive with said data, just collecting it. Also raises the question of whether its possible to bootstrap a data science, ML, or AI startup, given the high expense of purchasing that data.
- unsettledtck 10y agoThere is actually a thriving industry in data collection and these range from companies that provide tools for you to do your own data collection and those who will collect the data for you (or provide pre-made datasets). Full disclosure, I work for one such: Scrapinghub where we provide tools, platform, and data services.
- abstractbeliefs 10y agoBut surely we already know that there's a huge market for information storage. Cartographers are the big ones, who can produce maps to sell to the public, but also often produce custom excerpts of their datasets for building planning surveys, etc. The other group are information brokers, like those behind credit check firms who again mainly exist to collect and sell data.
- AznHisoka 10y agoBy collecting it you mean scraping?
- HillaryBriss 10y ago> Farmers tell me, “Look, I know that my data has value because everyone wants it. The part that frustrates me is that companies want my data in return for some undefined ‘value.’ Meanwhile they are often upselling me for additional services that would not exist without my data." Sounds like a good description of what's been going on across the economy for 20 years. Farmers are asking the same question many others are asking: how can I keep more of my own data's value for myself?
- basseq 10y agoTwo thoughts: 1. This is tough, because the value of a single data point ("my data") is pretty much zero. The value is in the aggregate. Of course, without any data points, the value of the data is then zero. So the sum of the value of the individual data points does not equal the value of the data as a whole. 2. There's value to you in my ability to sell you more things. Which sounds nonsensical, but hear me out. If I'm able to sell you, it means you see value in that product or service greater than its cost. I would not be able to create that value for you without your data. So it's a help-me-help-you situation.
- otoburb 10y agoFor #1, I'd imagine that farmers already belong to (or could form?) a farming or agriculture association, and one of the [additional] responsibilities could be data collection, anonymizing and selling to other parties. The association, similar to a labour union, could also potentially hire a 3rd party to do this work on their behalf provided they still retain ownership over the data, but at least the overall coordination and aggregate value would be captured on behalf of the farmers and not the vendors. #2 would be fulfilled more easily by the association provided there was enough true representation of member interests and concerns.
- basseq 10y ago#1 - You're talking adjacency (moving up the value chain), which might not be a bad idea, but is the incremental value worth it? It might be: I don't know. But I know that it implies a level of sophistication and focus that may not be present. #2 - I don't know if there's a distinction there. Either the value is lower (because the data doesn't include anyone outside the association) or dollars just flow in a different way (e.g., increased association dues for increased "free" services vs. fee-for-service).
- Kluny 10y agoI could see myself dedicating my life to making software to help farmers organize their farm data and sell it. Anyone know of companies that do this? edit: I'm a full-stack application developer with a lot of experience working with non-techy business owners and proven success as a problem-solver. I'm interested in getting into this industry as a technical project manager. Email me if you're looking for such a person (it's in my profile). I'll be in contact with the companies in the comments below, too. Thanks!
- MAGZine 10y agoYes, FarmersEdge (disclosure: I know the CTO) is a big player. I think, in a roundabout way, Monsanto is one of their competitors through acquisitions, though I'm not sure of their market placement wrt FE. I think ag is an underrated software industry. It's ripe for disruption, but you need to do it in a way that makes sense to farmers, which can be tricky for at least a couple of reasons!
- infinite8s 10y agoCould you go into those reasons?
- dejv 10y agoMost of the software on market is basically data collecting apps (be it manual or automatic data entry). What you get out of those apps is just another piece of (already abundant) information. You might get good insights out of it, but most farms are seriously understaffed and there might not be enough time left for doing another data entry job or analysing it.
- dbcurtis 10y agoIt is a commodity business with very thin margins. Farmers for the most part have zero pricing power for their commodities. Whatever you propose must "pencil out", as farmers say, and it needs to be a clear benefit. It should reduce or option-away risk, not add to risk. Professional farm management companies might be a good place to start, because they have business analysts that have the time to understand your product and can deploy at scale across multiple clients. Hertz farm management (Iowa, Illinois, Nebraska) is one example. Typical client is the children that inherited dad's farm but don't have the time and expertise to manage the land, which is typically leased to farmer-operators.
- emcrazyone 10y agoI'm the lead software architect at a major agricultural and construction equipment manufacturer. I deal with this stuff every day. I'm not aware of any efforts to make collected data available but what I can say about the company I work for is that we largely view the data the farmer or operator's personal property. We don't transmit it back to any data center presently but we do have ways to copy the captured data off to a USB stick for post processing which a number of 3rd party precision farming applications are on the market to read it. What I can say about the data is that it's voluminous. Our software collect all kinds of data besides just precision farming data. For example, CAN bus faults, GPS history (vehicle guidance), weather conditions (temperature, humidity), etc... And the way the data is collected follows no industry set standard - it's pretty much proprietary formats. Also, much of our data collection is stored locally in a binary format to save space and improve performance. We have tools that move the data back to a flat file/text format for post processing. I'm not involved with the 3rd parties that use the data but my guess is that someone has shared with them the formats and such.
- microDude 10y agoYes, this is a common problem to all industries. Formats can be figured out or obtained from the OEM, then a gateway is created to transform into a digestible format (my guess some XML schema). In the article, the author states his company [1], where in the tech section he describes this very scenario. [1]https://www.farmobile.com https://www.farmobile.com
- MisterBastahrd 10y agoI've dealt with something similar, working for a small publisher in niche markets. We've got dozens of customers, some on third party platforms, and others with their own proprietary data formats. I built a platform to convert their data to our own format. Usually that part is easy. Mapping their categorization to our own is the time-consuming part.
- JoeAltmaier 10y agoI'm not sure the farmer should be getting in the way of data collection. Regional and global optimizations can be mined from a large enough set of ag data. Do we really want to nickel and dime research this way? Its a fair question. I know; there's a sense of ownership. But farmers are just one participant in the chain of data management. They just happen to be the one person residing physically over the land. So they could charge rent on data. But should they?
- weberc2 10y agoThe point is that everyone except farmers are profiting from the data the farmers are helping to collect. Perhaps the better question is "why should everyone except farmers get to nickel and dime research in this way?"
- JoeAltmaier 10y agoI didn't read that. I read that no money was changing hands; just agreements. And of course the farmers benefit greatly; that's the whole point of it all, to make better yields.
- weberc2 10y agoWhy do you think increasing yields greatly benefits farmers? If the pencil industry doubles its output, do you imagine their profits will increase twofold?
- costcopizza 10y agoNote he said better rather than increase. Better could mean anything from maintaining current output with less costs to increasing the quality of your crop.
- weberc2 10y agoThe phrase "better yields" is exactly synonymous with "increased yields". A crop's yield is its volume, measured in bushels. There is literally no other way to interpret this. Citation: I grew up on a farm, and my family has farmed for at least 200 years. EDIT: This is a particularly weird reason to downvote me...
- schmichael 10y agoPrecision Planting HQ is 2 corn fields away (~5 miles) from the house I grew up in in rural Illinois. Maybe I shouldn't have moved to the west coast to chase startups...
- schmichael 10y agoThis is what the campus of a $250M startup looks like: https://goo.gl/maps/hRpUS1BQbZL2 https://goo.gl/maps/hRpUS1BQbZL2
- jpbedoya 10y agoCheck out climate.com We are building the tools for farmers to use all these data. We have offices in SF, Seattle, Chicago and St Louis if you are interested.
- schmichael 10y agoAnd Morton, IL! About 15 miles from Precision Planting.
- microDude 10y agoIdea: Co-Op program Farmers join a local Co-Op, say "Iowa's Data Co-Op". The Data Co-Op then sells to the highest bidder, then after a small management fee returns dividends to the participating farmers. The Data Co-Op partners with equipment integrators to build data collection devices and data transformations.
- fanquake 10y agoLocal farmer groups are already a thing, where farmers get together to share research, look at properties with trials running on them etc. [1] The question your have to answer before trying to sell any of this "info", is who, other than the farmers themselves is going to find it valuable enough to buy? [1] http://gga.org.au/group/northern-agri-group/ http://gga.org.au/group/northern-agri-group/
- blahi 10y agoAG are the original data science folks. SAS was started to help farmers analyze crops 40 or so years ago.
- Animats 10y agoAnd here's what the American Farm Bureau Federation is doing about it.[1] See their Ag Data Transparency Evaluator.[2] The parent article totally ignores the major farming organizations. [1] http://www.fb.org/issues/bigdata/ http://www.fb.org/issues/bigdata/ [2] http://www.fb.org/agdatatransparent/ http://www.fb.org/agdatatransparent/
- fanquake 10y agoWhat I think is going to be most interesting is companies/banks/insurances agencies being able to gleam information without going through the farmers at all. Not by subverting them and going to the machinery manufacturers, which is already happening, but just by using other sources of information, such as satellite imagery. It's already possible to predict yield potential through biomass/NDVI monitoring via satellite, and given that imagery from a source such as LandSat is freely available, or something like Planet isn't that expensive once your a bank/insurance agency I'm certain they must already be using. Once you can predict yields reliably via satellite, you can start to predict supply for certain types of grain in different regions, or to a lesser extent, countries as a whole. This data is useful to investment banks and insurers, as well as organisations such as CBH[1], that handle the entirety of Western Australia's grain export. They currently determine potential yield by sending out a grower survey, and asking the farmers to predict yields themselves. I think the idea of anyone "stealing" our data is overrated. The data from our farm[2] is specific to our farm, and as long as where not farming in such a way that is detrimental to our partners (such as banks/suppliers), such that we were trying to lie about yield potential, or resource usage, I'm not sure what value could be stolen by anyone with our info. In fact we openly share all the trial work we do, so that everyone in the community can learn and benefit. [1] https://www.cbh.com.au/ https://www.cbh.com.au/ [2] https://hectare.ag/nook https://hectare.ag/nook