Applications of Artificial Intelligence in Agro-Environmental Microbiology
DOI:
https://doi.org/10.32870/recibe.v13i2.362Keywords:
Artificial intelligence; Machine Learning; Deep Learning; Environmental Microbiology; Agriculture; Bioremediation; Environmental sustainabilityAbstract
Artificial intelligence (AI), a concept that has emerged in the last decade as one of the most significant advances, thus becoming a great tool that has seen an increase in its use in different fields of science and technology, marking a milestone on the road. to a new technological revolution. Among these areas of knowledge, environmental sciences, particularly agri-environmental microbiology, have become one of the fields where AI applications have been relevant. In this way, this new technology based on different methods such as machine learning or deep learning offers innovative solutions that are applicable to monitor and manage the different systems that can be found within what comprises agro-environmental microbiology. This research focused on the search for the different applications that AI can have and that can be applicable in different processes such as studies of environmental microbiology, agriculture and crop health, bioremediation and environmental sustainability, all of them. , processes that are considered a fundamental part to understand what the agro-environmental area is. In this research, an exhaustive search was carried out in different databases to find the information, thus establishing the basic principles to understand AI tools and what their applicability is within this area, highlighting what the benefits have been. of the incorporation of these technologies and the future perspectives on them.References
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