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pro vyhledávání: '"Gangadharan, Kapilya"'
Autor:
Gangadharan, Kapilya, Malathi, K., Purandaran, Anoop, Subramanian, Barathi, Jeyaraj, Rathinaraja
This research aims to explore the impact of Machine Learning (ML) on the evolution and efficacy of Recommendation Systems (RS), particularly in the context of their growing significance in commercial business environments. Methodologically, the study
Externí odkaz:
http://arxiv.org/abs/2402.08109
Machine learning methodologies are commonly used in the field of precession farming. It prospects greatly in the plant safety measure like disease detection and classification of pest attacks. It highly influences the crop production and management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::cabc8388974a68f1cc72bca956f1efc4
https://zenodo.org/record/7056261
https://zenodo.org/record/7056261