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3 articles for “preferred habitats”
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Birdwatcher’s Assistant: AI- Based Bird Species Classification
Abstract: Many bird species have gone extinct because of human activities and changes in the climate. The loss of habitats is a significant danger to global biodiversity. Therefore, it is important to monitor species distribution and identify the components of biodiversity in an area to develop conservation strategies. The ultimate objective is to build a machine learning model that can accurately differentiate between various bird species based solely on visual cues. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 17–27 Read article
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From Battlefield to Biodiversity: The Evolution of Drones in Modern Conservation Efforts in Wildlife
Abstract: The rapid advancement of drone technology, encompassing unmanned aerial vehicles (UAVs), unmanned aircraft systems (UAS), and remotely piloted aircraft (RPAs), has significantly impacted various fields, particularly environmental management and wildlife conservation. Originally designed for military use, drones have now become essential tools in ecological research, offering a cost-effective and minimally invasive way to monitor and protect ecosystems. These sophisticated "eco-drones" have revolutionized data collection, especially in hard-to-reach and previously inaccessible …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 8–12 Read article
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Species Interdependence and Biodiversity
Abstract: For the survival of every species, a reliance on compatible counterparts is essential. This compatibility can be examined through various aspects, with food and shelter emerging as the most common yet crucial factors. In the realm of plants, sustenance plays a pivotal role in ensuring survival. Whether it be a tree, shrub, ground cover, creeper, climber, or any other category, the availability of sufficient food is paramount. The prospects of …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 2, 2024 · pp. 1–7 Read article