Supermarket Scanner Technology Now Identifies Wildlife Species in the Amazon
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📰 The quick summary: Scientists now use near-infrared spectroscopy (NIR) technology to identify wildlife species in the field with 80% reliability, eliminating the need for costly genetic testing or bioacoustic analysis.
📈 One key stat: NIR technology identified five of eight amphibian species with 80% reliability in a single reading, with one species correctly identified 92% of the time.
💬 One key quote: “The NIR tool is an advance in laboratory and field activities, combining the knowledge of biodiversity experts with available technology,” Torralvo tells Mongabay.
1️⃣ The big picture: Scientists have adapted near-infrared spectroscopy (NIR) technology—the same technology used in supermarket checkout scanners—to identify wildlife species in the field. Researchers at Brazil’s Mamirauá Sustainable Development Reserve use NIR devices to scan animals and detect their unique spectral signatures, which function like fingerprints for species identification. This method has shown promising results, with reliability rates of 80% in identifying amphibian species. Beyond simple identification, the technology has potential applications in monitoring biodiversity, combating illegal wildlife trade, and analyzing animal health without lengthy laboratory tests.
2️⃣ Why is this good news: This adaptation of existing technology provides a cost-effective solution for field biologists working in biodiversity-rich regions like the Amazon. The portable scanners eliminate the need for expensive genetic testing or time-consuming bioacoustic analysis, making species identification accessible in remote areas without experts present. The technology can detect illegal wildlife products even when traders attempt to disguise them by mixing with other species. Beyond identification, NIR scanning might eventually measure environmental stressors or contaminants in animal tissues, providing valuable data for conservation management. The simplicity of the scanning process means more researchers can contribute to biodiversity monitoring with minimal specialized training.
3️⃣ What’s next: Scientists plan to expand the reference database by scanning more species to improve identification accuracy beyond the current 80% reliability rate. Researchers aim to refine the technology for specific applications like identifying illegal wildlife products in various states (fresh, frozen, or salted). Future development could extend NIR capabilities to measure chemical compositions, stress hormones, and environmental contaminants within animal tissues.
Read the full story here: Mongabay – Checkout counter tech eases wildlife identification in the field
