An Exploratory Case Study on Student Teachers’ Experiences of Using the AR App Seek by iNaturalist When Learning About Plants

Cederqvist, Anne-Marie; Williams, Alexina Thorén

doi:10.1007/978-3-031-34550-0_3

Cited by 1 publication

(1 citation statement)

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“…With hardware advances and algorithms designed for lowerresource devices, computer vision has become less expensive and more accessible. From only being able to work on stationary super-computers, computer vision is now standard, with all computation and data storage being performed on small devices in the field like laptops and cell phones [78][79][80]. Users of computer vision applications today include, but royalsocietypublishing.org/journal/rsif J. R. Soc.…”

Section: Case Study 3: Computer Visionmentioning

confidence: 99%

Conservation tools: the next generation of engineering–biology collaborations

Schulz

Shriver

Stathatos

et al. 2023

J. R. Soc. Interface.

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The recent increase in public and academic interest in preserving biodiversity has led to the growth of the field of conservation technology. This field involves designing and constructing tools that use technology to aid in the conservation of wildlife. In this review, we present five case studies and infer a framework for designing conservation tools (CT) based on human–wildlife interaction. Successful CT range in complexity from cat collars to machine learning and game theory methodologies and do not require technological expertise to contribute to conservation tool creation. Our goal is to introduce researchers to the field of conservation technology and provide references for guiding the next generation of conservation technologists. Conservation technology not only has the potential to benefit biodiversity but also has broader impacts on fields such as sustainability and environmental protection. By using innovative technologies to address conservation challenges, we can find more effective and efficient solutions to protect and preserve our planet’s resources.

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Section: Case Study 3: Computer Visionmentioning

confidence: 99%