Difference between revisions of "Animal Ecology"

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[http://www.youtube.com/results?search_query=Animal+Ecology+Endangered+Species+deep+machine+learning+ML Youtube search...]
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[https://www.youtube.com/results?search_query=Animal+Ecology+Endangered+Species+deep+machine+learning+ML Youtube search...]
[http://www.google.com/search?q=Animal+Ecology+Endangered+Species+deep+machine+learning+ML ...Google search]
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[https://www.google.com/search?q=Animal+Ecology+Endangered+Species+deep+machine+learning+ML ...Google search]
  
* [[Case Studies]]
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* [[Collective Animal Intelligence]] ... [[Animal Ecology]] ... [[Animal Language]] ... [[Bird Identification]]
* [http://www.nextgov.com/emerging-tech/2020/02/noaa-use-microsoft-ai-advance-protection-endangered-species/163208/ NOAA to Use Microsoft AI to Advance Protection of Endangered Species |  Brandi Vincent - Nextgov]
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* [[Symbiotic Intelligence]] ... [[Bio-inspired Computing]] ... [[Neuroscience]] ... [[Connecting Brains]] ... [[Nanobots#Brain Interface using AI and Nanobots|Nanobots]] ... [[Molecular Artificial Intelligence (AI)|Molecular]] ... [[Neuromorphic Computing|Neuromorphic]] ... [[Evolutionary Computation / Genetic Algorithms| Evolutionary/Genetic]]
* [http://deepmind.com/blog/article/using-machine-learning-to-accelerate-ecological-research Using machine learning to accelerate ecological research | S. Petersen, M. Palmer, U. Paquet, and P. Kohli - Deepmind]
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* [https://www.nextgov.com/emerging-tech/2020/02/noaa-use-microsoft-ai-advance-protection-endangered-species/163208/ NOAA to Use Microsoft AI to Advance Protection of Endangered Species |  Brandi Vincent - Nextgov]
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* [https://deepmind.com/blog/article/using-machine-learning-to-accelerate-ecological-research Using machine learning to accelerate ecological research | S. Petersen, M. Palmer, U. Paquet, and P. Kohli - Deepmind]
  
Animal ecology concerns the relationships of individuals to their environments, including physical factors and other organisms, and the consequences of these relationships for evolution, population growth and regulation, interactions between species, the composition of biological communities, and energy flow and nutrient cycling through the ecosystem. From the standpoint of population, the individual organism is the fundamental unit of ecology. Factors influencing the survival and reproductive success of individuals form the basis for under-standing population processes. [http://www.encyclopedia.com/social-sciences/encyclopedias-almanacs-transcripts-and-maps/animal-ecology | Encyclopedia.com]
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Animal ecology concerns the relationships of individuals to their environments, including physical factors and other organisms, and the consequences of these relationships for evolution, population growth and regulation, interactions between species, the composition of biological communities, and energy flow and nutrient cycling through the ecosystem. From the standpoint of population, the individual organism is the fundamental unit of ecology. Factors influencing the survival and reproductive success of individuals form the basis for under-standing population processes. [https://www.encyclopedia.com/social-sciences/encyclopedias-almanacs-transcripts-and-maps/animal-ecology | Encyclopedia.com]
  
There is increasing demand for efficient ways to process large volumes of data from visual-based remote-technology, such as unmanned aerial vehicles (UAVs) in ecology and conservation, with machine learning methods representing a promising avenue to address varying user demands. Here, we evaluated current trends in how machine learning and UAVs are used to process imagery data for detecting animals and vegetation across habitats, placing emphasis on their utility for endangered species. [http://www.int-res.com/abstracts/esr/v39/p91-104/ Importance of machine learning for enhancing ecological studies using information-rich imagery | Antoine M. Dujon, Gail Schofield]
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There is increasing demand for efficient ways to process large volumes of data from visual-based remote-technology, such as unmanned aerial vehicles (UAVs) in ecology and conservation, with machine learning methods representing a promising avenue to address varying user demands. Here, we evaluated current trends in how machine learning and UAVs are used to process imagery data for detecting animals and vegetation across habitats, placing emphasis on their utility for endangered species. [https://www.int-res.com/abstracts/esr/v39/p91-104/ Importance of machine learning for enhancing ecological studies using information-rich imagery | Antoine M. Dujon, Gail Schofield]
  
 
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== Communicating with Nonhuman Species ==
 
With advances in machine learning, we now stand a chance to decode communication in non-human animal and plant life, which has fascinated humans for millennia. Cutting-edge technology can be used to benefit not only humankind, but other species on our planet, to better understand and protect the life around us. To make this possible, one needs to bring together and build on the latest discoveries of experts in disparate fields, including machine learning, signal processing, data science, linguistics, and acoustics. The goal of the workshop is to explore the challenges and current state-of-the-art in the study of non-human species communication as well as disciplines and technologies that are likely to provide solutions to these challenges. [http://simons.berkeley.edu/workshops/decoding-communication-non-human-species Decoding Communication in Nonhuman Species | Simons Institute]
 
 
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Latest revision as of 05:35, 2 July 2023

Youtube search... ...Google search

Animal ecology concerns the relationships of individuals to their environments, including physical factors and other organisms, and the consequences of these relationships for evolution, population growth and regulation, interactions between species, the composition of biological communities, and energy flow and nutrient cycling through the ecosystem. From the standpoint of population, the individual organism is the fundamental unit of ecology. Factors influencing the survival and reproductive success of individuals form the basis for under-standing population processes. | Encyclopedia.com

There is increasing demand for efficient ways to process large volumes of data from visual-based remote-technology, such as unmanned aerial vehicles (UAVs) in ecology and conservation, with machine learning methods representing a promising avenue to address varying user demands. Here, we evaluated current trends in how machine learning and UAVs are used to process imagery data for detecting animals and vegetation across habitats, placing emphasis on their utility for endangered species. Importance of machine learning for enhancing ecological studies using information-rich imagery | Antoine M. Dujon, Gail Schofield