Research Journal of Medical Sciences
ISSN: Online 1993-6095ISSN: Print 1815-9346
Abstract
The solution to Environmental sustain ability is increasingly becoming a crucial use of Artificial Intelligence (AI). This review aims to elucidate the vast number of applications across key areas including climate modeling, biodiversity conservation, pollution management (air... By using complex models to sift through large swaths of data, AI significantly refines climate predictions by better forecasting weather patterns and long‐term impacts on the climate. AI drones and image recognition biomimicry in biodiversity conservation help monitor wildlife devices anti‐poaching, respectively predict how major shifts in environmental changes are going to affect species. AI can improve pollution management by analyzing the data from air and water sensors which helps to identify needs for waste‐treatment processes. Furthermore, AI‐controlled agribusinesses and energy management solutions utilize assets in the best possible way by smart irrigation systems to optimum renewable vitality productivity helping out ecological practices. The study details the massive environmental benefits of AI via improvements in accuracy, speed and cost at any scale. But it also covers much more important issues such as data quality, ethical considerations and technical restrictions. These include limited availability of accurate data in environmental science, risk for unintentional biases and need for huge labeled data set. Points for Future Practice address the need of interdisciplinary work advancing AI research and specifically improved data infrastructures and increased policy frameworks to safeguard the ethical deployment of these systems. AI continues to have significant potential for boosting the pace of global environmental sustain ability efforts By providing innovative solutions for monitoring, managing and mitigating environmental issues, AI can drive significant progress towards a sustainable future. However, realizing this potential necessitates overcoming associated challenges and fostering a collaborative, multi disciplinary approach to integrate AI effectively into environmental strategies.
How to cite this article:
Shirish Kumar Singh and Sanyogita Shahi. AI for Earth: Enhancing Environmental Sustain Ability with Technology.
DOI: https://doi.org/10.36478/10.36478/makrjms.2024.11.219.225
URL: https://www.makhillpublications.co/view-article/1815-9346/10.36478/makrjms.2024.11.219.225