Real-time biodiversity analysis using deep-learning algorithms on mobile robotic platforms.

ABSTRACT: Ecological biodiversity is declining at an unprecedented rate. To combat such irreversible changes in natural ecosystems, biodiversity conservation initiatives are being conducted globally. However, the lack of a feasible methodology to quantify biodiversity in real-time and investigate population dynamics in spatiotemporal scales prevents the use of ecological data in environmental planning. Traditionally, ecological studies rely on the census of an animal population by the "capture, mark and recapture" technique. In this technique, human field workers manually count, tag and observe tagged individuals, making it time-consuming, expensive, and cumbersome to patrol the entire area. Recent research has also demonstrated the potential for inexpensive and accessible sensors for ecological dat

SUBMITTER: Panigrahi S 

PROVIDER: S-EPMC10495972 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature