An Intelligent Real-Time Wireless Sensor Network Tracking System for Monitoring Rhinos and Elephants in Tanzania National Parks : A Review

Massawe, Erick Alphonce; Kisangiri, Michael; Kaijage, Shubi; Seshaiyer, Padmanabhan

doi:10.5121/ijassn.2017.7401

Cited by 3 publications

(1 citation statement)

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“…In many instances intervention strategies to address threats such as poaching require data long before they have traditionally been available. For example, when researchers rely on feedback from global positioning system (GPS) tracking devices that have been attached to animals, signal loss often suggests the death of the animal, often by poaching, which can trigger a response by a nearby team to confirm the death (Massawe et al 2017). This is a reactive approach that does not prevent the poaching event (Tan et al 2016).…”

Section: Data Processingmentioning

confidence: 99%

Noninvasive Technologies for Primate Conservation in the 21st Century

et al. 2021

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Observing and quantifying primate behavior in the wild is challenging. Human presence affects primate behavior and habituation of new, especially terrestrial, individuals is a time-intensive process that carries with it ethical and health concerns, especially during the recent pandemic when primates are at even greater risk than usual. As a result, wildlife researchers, including primatologists, have increasingly turned to new technologies to answer questions and provide important data related to primate conservation. Tools and methods should be chosen carefully to maximize and improve the data that will be used to answer the research questions. We review here the role of four indirect methods—camera traps, acoustic monitoring, drones, and portable field labs—and improvements in machine learning that offer rapid, reliable means of combing through large datasets that these methods generate. We describe key applications and limitations of each tool in primate conservation, and where we anticipate primate conservation technology moving forward in the coming years.

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Section: Data Processingmentioning

confidence: 99%