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Chandra Krintz

Professor of Computer Science, UC Santa Barbara · 2 appearances on the record.

computed by AI from the episodes · how this works → · full disclaimer →

academicscientistfounderexecutiveLinkedIn ↗sites.cs.ucsb.edu/~ckrintz ↗

Chandra Krintz is a Professor of Computer Science at the University of California, Santa Barbara, where she directs the open-source UCSB SmartFarm project. She also co-founded AppScale Systems, Inc., serving as its Chief Scientist to commercialize open-source platform-as-a-service and hybrid cloud technology.

18statements → 11claims → 7claims resolved → 43%fully supported → 3.94/5average certainty → 1.72/5average debate potential →

3 supported 2 partly supported 2 contradicted 4 not checkable as stated how the 11 claims stand · each chip opens the sources

2 predictions · 9 assertions · 3 opinions · 4 insights · every statement was checked. The predictions and assertions are the 11 claims: statements the public record can support or contradict. 7 are resolved, and 4 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Chandra argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
UCSB SmartFarm edge appliance costs $4,000 to build
“Four grand is what it costs now for that box.”
Chandra Krintz Jul 15, 2017 ▶ 11:41 Chandra Krintz

Their most notable contradicted claim

Assertion Contradicted
The global supply of arable land is fully exhausted
“There's, the amount of arable land in the world is done. We're, we've used it all.”
Chandra Krintz Jul 15, 2017 ▶ 2:40 Chandra Krintz

How they sound: speaking style how? →

226 words/min while actually speaking · 30.6 um and uh per 1k words

No argument clarity score for Chandra Krintz: no usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 4,148 words across 2 episodes of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Chandra Krintz said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Prediction Not checkable as stated
Krintz: Data will become farmers' most valuable asset over land and water
“I think the biggest change is that instead of thinking about some of the things we've been talking about here, water resources, amount of land, soil quality, the resources that we'll all be talking about that are going to be the most valuable to the growers th…”
Chandra Krintz Jan 2, 2019 ▶ 23:43 a16z Podcast | Data Down on the Farm
Assertion Contradicted
The global supply of arable land is fully exhausted
“There's, the amount of arable land in the world is done. We're, we've used it all.”
Chandra Krintz Jul 15, 2017 ▶ 2:40 Chandra Krintz
Opinion
Tech companies take valuable farmer data for free
“All the value of what farmers own is in their data. And that's why companies love to take it for free.”
Chandra Krintz Jul 15, 2017 ▶ 14:29 Chandra Krintz
Opinion
Krintz: Agriculture Is Tremendously Underserved By Technology
“We believe that agriculture is tremendously underserved by technology. It's been left behind in both software and hardware, although hardware has done a little bit better than software.”
Chandra Krintz Jan 2, 2019 ▶ 1:16 a16z Podcast | Data Down on the Farm
Assertion Not checkable as stated
Krintz: AgTech Sensor Market Is Fragmented and Proprietary
“Turns out that these sensors, however, are proprietary, and they all do a little bit something different, and have different interfaces, and so it's really hard to go between vendors if you wanted to try lots of different sensors on your farm”
Chandra Krintz Jan 2, 2019 ▶ 2:07 a16z Podcast | Data Down on the Farm
Opinion
Agriculture is completely underserved by modern technology and analytics
“If you think about the ag industry today, it is completely underserved by technology, let alone analytics.”
Chandra Krintz Jul 15, 2017 ▶ 1:54 Chandra Krintz
Insight
Precision agriculture needs Amazon, Google, and Tinder-style analytics
“So in terms of analytics then, we need to make Amazon recommendations to farmers for things like irrigation scheduling or the application of inputs, fertilizers, pesticides, water. We need Google search for crop disease. We need Tinder for pests.”
Chandra Krintz Jul 15, 2017 ▶ 3:39 Chandra Krintz
Insight
On-farm edge computing must require zero system administration
“If we're going to put some computation on farm, the system that we develop there must be lights out, easy to use. It must be self-managing, must be completely fault tolerant, must be like a TiVo box. You turn it on, it just works. Right? And you don't need a s…”
Chandra Krintz Jul 15, 2017 ▶ 8:31 Chandra Krintz
Assertion Contradicted
SmartFarm edge appliance runs AWS and Google Cloud workloads locally
“Anything that runs in Amazon and anything that runs in the Google Cloud platform will run on this appliance.”
Chandra Krintz Jul 15, 2017 ▶ 10:36 Chandra Krintz
Prediction Not checkable as stated
Open-source software will be key for widespread agtech adoption
“Open source software is going to be key.”
Chandra Krintz Jul 15, 2017 ▶ 14:55 Chandra Krintz
Insight
Krintz: Precision irrigation synchronizes crop maturation to eliminate redundant harvest passes
“A lot of times if you part of the farm has less water than another part Certain trees will be ready for harvest before the others, and that, that, that's costly, because you have to perform two harvests. What you want to do is manipulate both the fertilization…”
Chandra Krintz Jan 2, 2019 ▶ 9:49 a16z Podcast | Data Down on the Farm
Assertion Partly supported
California produced $50 billion in agricultural output last year
“The amount of food we produce in California alone is enormous. Fifty billion last year.”
Chandra Krintz Jul 15, 2017 ▶ 3:21 Chandra Krintz
Assertion Partly supported
SmartFarm identified crop quality root causes via diffusion analysis
“We took the same data as part of our Smart Farm effort, and we did a diffusion analysis to try to understand not how to control a tractor, but why this differentiation of quality was happening. So we applied this, a diffusion analysis technique to figure out t…”
Chandra Krintz Jul 15, 2017 ▶ 6:16 Chandra Krintz
Insight
Spatial analytics allow farmers to target problem areas efficiently
“Once you have this, something like this, you can hand a farmer an iPad, and they can, you know, instead of walking the entire field, they can focus their energy to find where the problem might be.”
Chandra Krintz Jul 15, 2017 ▶ 6:53 Chandra Krintz
Assertion Not checkable as stated
Most farms lack reliable, low-cost internet connectivity
“Most of our farms are lucky if they are connected to the internet. And if they are, it's extremely low bandwidth, and it's very expensive.”
Chandra Krintz Jul 15, 2017 ▶ 9:44 Chandra Krintz
Assertion Supported
UCSB SmartFarm edge appliance costs $4,000 to build
“Four grand is what it costs now for that box.”
Chandra Krintz Jul 15, 2017 ▶ 11:41 Chandra Krintz
Assertion Supported
Thermal imaging detects agricultural irrigation leaks via temperature variations
“You can also use this type of imaging in terms of for using the thermal spectrum to identify where leaks occur. Because leaks have an area that is a little bit different temperature than the rest of the field.”
Chandra Krintz Jul 15, 2017 ▶ 7:32 Chandra Krintz
Assertion Supported
Analytics frameworks like Spark and Hadoop assume exclusive resource access
“Most things, Hadoop, Spark, Storm, they think they're running by themselves. And so they compete for resources in really interesting ways.”
Chandra Krintz Jul 15, 2017 ▶ 11:52 Chandra Krintz

Appearances (2)

EpisodeDateSpeaking time
a16z Podcast | Data Down on the Farm Jan 2, 2019 8m
Chandra Krintz Jul 15, 2017 13m
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