AI applications in Biodiversity are a pivotal solution that can help the survival of many species and maintain a sound ecology. Moreover, the rise in sea levels, climate changes, increasing human population, etc., is alarming. Further, the repercussions of the changing environment lead to mass extinction of several species of plants, incests, mammals, etc. Around one million species face the threat of extinction in the coming decades. Therefore, there is biodiversity loss can lead to various issues. Hence, AI applications in Biodiversity may be the key to finding solutions for the survival of these species.
Moreover, AI applications in Biodiversity help scientists and environmentalists take drastic and necessary measures to conserve and protect these habitats. According to a report by IPBES, agricultural activities significantly impact ecosystems as people rely on food, clean water, and a sustainable climate.
Further, various environmental threats have drastically affected biodiversity loss for years. Moreover, to identify these causes of biodiversity loss, scientists must quantify the impact of pollution. According to Graham Taylor, the Canada CIFAR AI Chair at Vector Institute explains, “Right now we’re facing a massive loss of information. Consider the consequences of losing these genomes, each one is one thousand times more detailed than the longest book ever written,”. He further states, “AI systems give us superhuman abilities in species analysis for biodiversity. If we can build machines to accurately identify insects and other individuals, it will go a long way in advancing our knowledge of biodiversity loss and supporting our efforts towards conservation and protection.”
Hence, in this article, we will learn about the AI applications in Biodiversity and their impact on our environment.
Understanding the Applications of AI in Biodiversity and its Effects!
How can AI Help Save Earth’s Biodiversity?
According to a 2019 UN Report, “8 million: total estimated number of animal and plant species on Earth (including 5.5 million insect species). Tens to hundreds of times: the extent to which the current rate of global species extinction is higher than average over the last 10 million years, and the rate is accelerating. Up to 1 million: species threatened with extinction, many within decades.”
The statistics show that the planet is in the sixth mass extinction. Moreover, reports state that elephants are killed every 14 minutes in Africa, and Rhinos are slaughtered every 11 hours. Further, the USA lists around 14,000 species as endangered. However, most of these species have survived over millions of years. Therefore, activities like poaching, hunting, deforestation, etc., have significant impacts on biodiversity.
As a result, advancements in technologies like AI help uncover various methods to conserve and protect biodiversity. Moreover, AI applications in Biodiversity help analyze different signals, detect risks from these signals, and offer real-time updates. Hence, AI has become an unlikely ally to conserve biodiversity and natural resources.
Leveraging the abilities of Deep Learning Models
Deep Learning models are a component of AI systems, and it recognizes and identifies patterns. For instance, the models are trained to identify unique whale sharks from thousands of pictures accurately.
Deep Learning models are also trained with unstructured data sets like images, videos, audio clips. Therefore, deep learning models use the abilities of high-performing GPU infrastructure to identify and detect images. Hence, the models can instantly identify new or different images accurately.
Analysis of Biomass
AI applications in Biodiversity can replace human experts in sorting and analyzing images. Further, manual identification and detection lead to multiple bottlenecks and errors. Moreover, AI offers rapid results by leveraging its automatic image-centric solutions. It also helps catalog and categorizes animals.
Eliminating the Effects of Linear Infrastructure
It is nearly impossible to keep track of the wildlife in a specific area. However, many liner infrastructures and constructions are built in places with an active lifecycle. Therefore, leading to the migration of certain species and their habitats. Hence, AI can help conserve rare and unique ecologies to survive these species by building a more sustainable and accessible environment.
The Biodiversity “Time Machine” using AI
AI applications in Biodiversity enable experts to make critical decisions. It also analyzes environmental data to safeguard the future and manage ecosystems. Moreover, the University of Birmingham’s School of Biosciences proposes a “time machine framework.” The framework helps correlate biodiversity, pollution events, and climate & ecological changes. It also helps identify their impact on ecosystems for experts to gain insights and prioritize their actions. Hence, it helps manage and monitor biodiversity using conservation techniques and creating policies.
AI Application in Biodiversity for Animal Detection & Counting
Firstly, rare and endangered species are at the brink of extinction and must be kept in unique conservatories. Further, AI solutions like robots and autonomous drones help authorities monitor the population of these species. Moreover, computer vision technology in AI drones also detects the categories and types of species of animals. Therefore training AI and Machine Learning algorithms using various datasets monitor various species and their behaviors. Hence, it enables AI to identify various species and the habitats, necessary for their survival.
Applications of AI in Biodiversity for Saving Animals from Poachers
An illegal activity that impacts the number of endangered species is hunting, slaughtering, and killing rare animals. Moreover, poachers kill elephants for their tusks and rhinoceros for their horns to sell them at high prices.
However, AI offers solutions to monitor and control these illegal practices without human intervention. Moreover, AI drones and night vision cameras can detect poachers in the area. Therefore, the solutions help send alerts to forest authorities before they harm any animals.
Similarly, AI offers solutions to integrate machines and equipment with individuals working in association with forest authorities. Further, AI enables continuous monitoring and security of animals and their ecologies.
AI Applications in Biodiversity Identifying Waste Material in the Ocean
Australia announced another mass bleaching event in the Great Barrier Reef in 2016. Scientists state that climate change is one of the significant factors. The Great Barrier Reef Marine Park Authority uses AI-enabled drones to identify the damages caused by La Niña.
People love spending time at the beach but litter the area without recognizing its consequences. They do not just litter the ocean’s edge but are a risk to the species that depend and are in the sea. AI-enabled drones also identify and locate waste materials threatening the ocean’s ecology.
Conclusion:
In conclusion, AI applications in Biodiversity help conserve various species of mammals, insects, birds, etc. Moreover, it helps experts understand the behaviors of multiple species in their ecology. Hence, it helps replicate certain necessary elements for their survival from their environments.
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