Tapping into expert analysis for effective carbon labelling
CategoriesSustainable News

Tapping into expert analysis for effective carbon labelling

Spotted: Shoppers are likely to become increasingly carbon-aware as climate change begins to bite. Already, one study has found that 69 per cent of global consumers feel that sustainability is more important to them than it was two years ago.

Dutch startup Greenswapp has developed an API that aggregates peer-reviewed Lifecycle Assessments (LCAs) conducted by research institutes, universities, and think tanks, to display the carbon impact of individual products.

To do this, the company uses a machine learning algorithm to automatically match a product based on its barcode or product name to one of the thousands of product types in its database. It then further analyses the factors along the product lifecycle that cause carbon emissions to differ between versions of the same product made by different suppliers. It can even differentiate between different products made by the same supplier. For processed food, the technology separates out the ingredients it has in its database, calculates the carbon footprint for each, and then adds up the total.

Greenswapp’s technology can be used by supermarkets like Waitrose in several ways. First, it can be used to inform procurement decisions through integration with procurement and inventory management software. Second, it can be integrated into PoS systems to provide customers with the option to carbon offset their purchases.

Finally, it can be used in merchandising to create ‘carbon labels’ that nudge shoppers towards higher-margin sustainable products. At CES 2024, GreenSwapp demonstrated new technology to display climate impact through electronic shelf labels and PoS displays.

Springwise has spotted other companies that are empowering customers with transparent climate data for products, including traceable climate-positive t-shirts and an ESG product rating system.

Written By: Matthew Hempstead

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Understanding environmental change through AI-powered pollen analysis
CategoriesSustainable News

Understanding environmental change through AI-powered pollen analysis

Spotted: When we think of global warming, the itchy eyes of allergy season are unlikely to be the first thing that springs to mind. But, experts highlight that worsening climate change means longer pollen seasons – and more runny noses for hay fever sufferers.

Historically speaking, researchers have analysed pollen in the air manually, which is a highly laborious task. Now, to monitor the growing rates of pollen and better understand environmental change, scientists from the University of Exeter and Swansea University are turning to cutting-edge technologies –including imaging flow cytometry and deep learning artificial intelligence (AI) to create a system that’s able to spot and categorise different pollens much more quickly.

As researcher Dr Ann Power highlights, “Pollen is an important environmental indicator, and piecing together the jigsaw of different pollen types in the atmosphere, both today and in the past, can help us build up a picture of biodiversity and climate change.”

As well as helping us to better understand our changing environment and shifting biodiversity levels, the AI-powered system could also help those with severe pollen allergies better manage their symptoms. Understanding when certain types of pollen are most prevalent, such as the grass pollens that so many are allergic to, would help to improve pollen forecasting so that individuals can limit exposure or take medications accordingly.

Accurately keeping track of biodiversity and climate change is the first step in ensuring that we are moving in the right direction for environmental protection. In the archive, Springwise has also spotted the use of AI and sensors to monitor farms and assessment software to forecast climate change risk.

Written By: Matilda Cox

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AI-powered sperm analysis improves fertility treatments
CategoriesSustainable News

AI-powered sperm analysis improves fertility treatments

Spotted: In-vitro fertilisation (IVF) has been a crucial breakthrough – both for human couples who want children, and for farmers who use it to manage the make-up of their herds. Despite the many medical advances that have moved fertility treatments forward, rates of success are still low. Fertility tech company Pera Labs says that IVF fails 70 per cent of the time in humans and 60 per cent of the time in farm animals. The company’s solution is to make it easier to find and select the highest quality sperm for a fertilisation.

Using artificial intelligence (AI) to cut down on the length of time it takes to analyse sperm in the laboratory shortens the amount of time individuals, couples, and farmers have to wait for each round of treatment or service. The company’s proprietary algorithm SPERMAN works with images as well as video, a development that greatly increases the accuracy of sperm quality analyses. The technology also works with eggs. Because eggs are much larger than sperm, it takes only seconds for the AI to gather enough data to grade an egg’s health.

For farmers, the lab offers a sex-sorting-as-a-service option to help maintain herd health and optimum numbers of each gender. For people, the technology helps identify as early as possible before the embryo stage the possibility of any dangerous genetic mutations. And potentially, if fertility treatments speed up slightly, costs may drop, enabling more people to access treatments that are currently prohibitively expensive.

Innovations focusing on fertility are relatively rare, with Springwise spotting a Tinder-style app that helps people choose a sperm donor and a femtech platform that personalises care for conditions that often affect infertility.  

Written By: Keely Khoury

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