Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review
Herbaria contain the treasure of millions of specimens that have been preserved for several
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
Plant phenology shifts under climate warming: a systematic review of recent scientific literature
T Hassan, R Gulzar, M Hamid, R Ahmad… - Environmental …, 2024 - Springer
Climate warming-driven temporal shifts in phenology are widely recognised as the foremost
footprint of global environmental change. In this regard, concerted research efforts are being …
footprint of global environmental change. In this regard, concerted research efforts are being …
From leaves to labels: Building modular machine learning networks for rapid herbarium specimen analysis with LeafMachine2
Premise Quantitative plant traits play a crucial role in biological research. However,
traditional methods for measuring plant morphology are time consuming and have limited …
traditional methods for measuring plant morphology are time consuming and have limited …
Botanical Collection Patterns and Conservation Categories of the Most Traded Timber Species from the Ecuadorian Amazon: The Role of Protected Areas
The Ecuadorian Amazon is home to a rich biodiversity of woody plant species. Nonetheless,
their conservation remains difficult, as some areas remain poorly explored and lack …
their conservation remains difficult, as some areas remain poorly explored and lack …
Opportunities and challenges in applying AI to evolutionary morphology
Artificial intelligence (AI) is poised to revolutionize many aspects of science, including the
study of evolutionary morphology. While classical AI methods such as principal component …
study of evolutionary morphology. While classical AI methods such as principal component …
Challenges and opportunities in applying AI to evolutionary morphology
Artificial intelligence (AI) is poised to transform many aspects of society, and the study of
evolutionary morphology is no exception. Classical AI methods such as Principal …
evolutionary morphology is no exception. Classical AI methods such as Principal …
[PDF][PDF] Digitalisierung im Naturschutz: Potenziale, Risiken und Lösungsansätze
C Schneider, K Mrogenda, M Davis - 2023 - bfn.bsz-bw.de
Nur wenigen Menschen ist vermutlich auf Anhieb bewusst, was Digitalisierung mit
Naturschutz zu tun hat. Von Einigen werden beide Begriffe sogar als Gegensätze …
Naturschutz zu tun hat. Von Einigen werden beide Begriffe sogar als Gegensätze …
[HTML][HTML] Envisaging a global infrastructure to exploit the potential of digitised collections
Tens of millions of images from biological collections have become available online over the
last two decades. In parallel, there has been a dramatic increase in the capabilities of image …
last two decades. In parallel, there has been a dramatic increase in the capabilities of image …
[PDF][PDF] Integrative Organismal Biology
Y He, JM Mulqueeney, EC Watt, A Salili-James… - 2024 - researchgate.net
Artificial intelligence (AI) is poised to revolutionize many aspects of science, including the
study of evolutionary morphology. While classical AI methods such as principal component …
study of evolutionary morphology. While classical AI methods such as principal component …