Pinot Grigio actually makes a white wine and it’s won a few varieties in California that, uh, is a pretty common variety that actually we make purple grapes that make a white wine. So my name is Dirk Heuvel and I’m the VP of vineyard operations here at McManis family vineyards.
My family actually kind of set roots here, actually farming almonds. And some people say almonds, we say in Ripon, and we say, say, almonds.
I feel like, if it was like my dad or my grandpa trying to adopt this technology, absolutely. I think there’d be a huge culture shock there for them. I still think they don’t quite understand it, but they’re seeing the results of it. So I think that’s the most important thing—that we’re able to show them that it is working and how it’s working for us.
I will say today, I feel that we’re growing better quality grapes than we were 30 years ago. Just adapting a lot of this aerial imagery, modern irrigation technology, running drip system technology, you know, being able to fertilize through drip systems. And you can actually look at the imaging on your phone and you can actually pinpoint go out and walk to a specific vine. You know, that might be a vine that died, that shows up on the aerial imaging. You can use the technology and, and walk right into a specific area. Just being able to identify areas, you know, using GPS. We can have field checkers go through the field now and on their app, they’re able to actually drop and pinpoint where we might have mite issues where we might have, you know, leafhopper issues, areas that need to get treated. And that actually allows us to go through and just cite specific treat. Instead of treating an entire vineyard block, we’re able to just treat specific areas.
Jennifer: It was only what like five, seven years ago, it was half of farm workers weren’t using smartphones.
Dirk Heuvel: Yeah.
Jennifer: So, if people are dropping pins that’s…
Dirk Heuvel: Yeah. You know, 30 years ago, in order to make a phone call, you’d have to drive in a, in a town or go to your house to call your irrigator to do stuff. And now it’s, this is almost, it’s like real time farming. Now we can make decisions on the fly. And one of the big advantages to using variable rate applications is that you’re only applying the amount of nutrients or amendments that are needed for a specific area. So before we adapted this variable rate technology, we would drive down a row and we would put a consistent amount of amendments, whether it be gypsum, lime, soil, sulfur, we would apply that amount evenly throughout the entire vineyard block. Now we realize going through and using this variable rate technology is that we might cut the, the amendments that are needed by 20 to 30% on a specific vineyard block, just by applying the correct amounts of nutrients where they’re needed and not overlying where they’re not needed
The Blue Technology Barometer 2022/23
The overall rankings tab shows the performance of the examined
economies relative to each other and aggregates scores generated
across the following four pillars: ocean environment, marine activity,
technology innovation, and policy and regulation.
This pillar ranks each country according to its levels of
marine water contamination, its plastic recycling efforts, the
CO2 emissions of its marine activities (relative to the size
of its economy), and the recent change of total emissions.
This pillar ranks each country on the sustainability of its
marine activities, including shipping, fishing, and protected
This pillar ranks each country on its contribution to ocean
sustainable technology research and development, including
expenditure, patents, and startups.
This pillar ranks each country on its stance on ocean
sustainability-related policy and regulation, including
national-level policies, taxes, fees, and subsidies, and the
implementation of international marine law.
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Technology Review offers in-depth reporting on today’s most
important technologies to prepare you for what’s coming next.
MIT Technology Review Insights would like to thank the following
individuals for their time, perspective, and insights:
- Valérie Amant, Director of Communications, The SeaCleaners
- Charlotte de Fontaubert, Global Lead for the Blue Economy, World Bank Group
- Ian Falconer, Founder, Fishy Filaments
- Ben Fitzgerald, Managing Director, CoreMarine
- Melissa Garvey, Global Director of Ocean Protection, The Nature Conservancy
Michael Hadfield, Emeritus Professor, Principal Investigator, Kewalo Marine Laboratory, University of Hawaii
- Takeshi Kawano, Executive Director, Japan Agency for Marine-Earth Science and Technology
- Kathryn Matthews, Chief Scientist, Oceana
- Alex Rogers, Science Director, REV Ocean
- Ovais Sarmad, Deputy Executive Secretary, United Nations Framework Convention on Climate Change
- Thierry Senechal, Managing Director, Finance for Impact
- Jyotika Virmani, Executive Director, Schmidt Ocean Institute
- Lucy Woodall, Associate Professor of Marine Biology, University of Oxford, and Principal Scientist at Nekton
Methodology: The Blue Technology Barometer 2022/23
Now in its second year, the Blue Technology Barometer assesses and ranks how each of the world’s largest
maritime economies promotes and develops blue (marine-centered) technologies that help reverse the impact of
climate change on ocean ecosystems, and how they leverage ocean-based resources to reduce greenhouse gases and
other effects of climate change.
To build the index, MIT Technology Review Insights compiled 20 quantitative and qualitative data indicators
for 66 countries and territories with coastlines and maritime economies. This included analysis of select
datasets and primary research interviews with global blue technology innovators, policymakers, and
international ocean sustainability organizations. Through trend analysis, research, and a consultative
peer-review process with several subject matter experts, weighting assumptions were assigned to determine the
relative importance of each indicator’s influence on a country’s blue technology leadership.
These indicators measure how each country or territory’s economic and maritime industries have affected its
marine environment and how quickly they have developed and deployed technologies that help improve ocean
health outcomes. Policy and regulatory adherence factors were considered, particularly the observance of
international treaties on fishing and marine protection laws.
The indicators are organized into four pillars, which evaluate metrics around a sustainability theme. Each
indicator is scored from 1 to 10 (10 being the best performance) and is weighted for its contribution to its
respective pillar. Each pillar is weighted to determine its importance in the overall score. As these research
efforts center on countries developing blue technology to promote ocean health, the technology pillar is
ranked highest, at 50% of the overall score.
The four pillars of the Blue Technology Barometer are:
Carbon emissions resulting from maritime activities and their relative growth. Metrics in this pillar also
assess each country’s efforts to mitigate ocean pollution and enhance ocean ecosystem health.
Efforts to promote sustainable fishing activities and increase and maintain marine protected areas.
Progress in fostering the development of sustainable ocean technologies across several relevant fields:
- Clean innovation scores from MIT Technology Review Insights’ Green Future Index 2022.
- A tally of maritime-relevant patents and technology startups.
- An assessment of each economy’s use of technologies and tech-enabled processes that facilitate ocean
Commitment to signing and enforcing international treaties to promote ocean sustainability and enforce
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What Shanghai protesters want and fear
You may have seen that nearly three years after the pandemic started, protests have erupted across the country. In Beijing, Shanghai, Urumqi, Guangzhou, Wuhan, Chengdu, and more cities and towns, hundreds of people have taken to the streets to mourn the lives lost in an apartment fire in Urumqi and to demand that the government roll back its strict pandemic policies, which many blame for trapping those who died.
It’s remarkable. It’s likely the largest grassroots protest in China in decades, and it’s happening at a time when the Chinese government is better than ever at monitoring and suppressing dissent.
Videos of these protests have been shared in real time on social media—on both Chinese and American platforms, even though the latter are technically blocked in the country—and they have quickly become international front-page news. However, discussions among foreigners have too often reduced the protests to the most sensational clips, particularly ones in which protesters directly criticize President Xi Jinping or the ruling party.
The reality is more complicated. As in any spontaneous protest, different people want different things. Some only want to abolish the zero-covid policies, while others have made direct calls for freedom of speech or a change of leadership.
I talked to two Shanghai residents who attended the protests to understand what they experienced firsthand, why they went, and what’s making them anxious about the thought of going again. Both have requested we use only their surnames, to avoid political retribution.
Zhang, who went to the first protest in Shanghai after midnight on Saturday, told me he was motivated by a desire to let people know his discontent. “Not everyone can silently suffer from your actions,” he told me, referring to government officials. “No. People’s lives have been really rough, and you should reflect on yourself.”
In the hour that he was there, Zhang said, protesters were mostly chanting slogans that stayed close to opposing zero-covid policies—like the now-famous line “Say no to covid tests, yes to food. No to lockdowns, yes to freedom,” which came from a protest by one Chinese citizen, Peng Lifa, right before China’s heavily guarded party congress meeting last month.
While Peng hasn’t been seen in public since, his slogans have been heard and seen everywhere in China over the past week. Relaxing China’s strict pandemic control measures, which often don’t reflect a scientific understanding of the virus, is the most essential—and most agreed-upon—demand.
Biotech labs are using AI inspired by DALL-E to invent new drugs
Today, two labs separately announced programs that use diffusion models to generate designs for novel proteins with more precision than ever before. Generate Biomedicines, a Boston-based startup, revealed a program called Chroma, which the company describes as the “DALL-E 2 of biology.”
At the same time, a team at the University of Washington led by biologist David Baker has built a similar program called RoseTTAFold Diffusion. In a preprint paper posted online today, Baker and his colleagues show that their model can generate precise designs for novel proteins that can then be brought to life in the lab. “We’re generating proteins with really no similarity to existing ones,” says Brian Trippe, one of the co-developers of RoseTTAFold.
These protein generators can be directed to produce designs for proteins with specific properties, such as shape or size or function. In effect, this makes it possible to come up with new proteins to do particular jobs on demand. Researchers hope that this will eventually lead to the development of new and more effective drugs. “We can discover in minutes what took evolution millions of years,” says Gevorg Grigoryan, CEO of Generate Biomedicines.
“What is notable about this work is the generation of proteins according to desired constraints,” says Ava Amini, a biophysicist at Microsoft Research in Cambridge, Massachusetts.
Proteins are the fundamental building blocks of living systems. In animals, they digest food, contract muscles, detect light, drive the immune system, and so much more. When people get sick, proteins play a part.
Proteins are thus prime targets for drugs. And many of today’s newest drugs are protein based themselves. “Nature uses proteins for essentially everything,” says Grigoryan. “The promise that offers for therapeutic interventions is really immense.”
But drug designers currently have to draw on an ingredient list made up of natural proteins. The goal of protein generation is to extend that list with a nearly infinite pool of computer-designed ones.
Computational techniques for designing proteins are not new. But previous approaches have been slow and not great at designing large proteins or protein complexes—molecular machines made up of multiple proteins coupled together. And such proteins are often crucial for treating diseases.