IMPACT OF MACHINE learning ON Management, healthcare AND AGRICULTURE. (2023)

• Record Type: Journal Article
• Authors: Pallathadka, Harikumar; Mustafa, Malik; Sanchez, Domenic T.; Sekhar Sajja, Guna; Gour, Sanjeev; Naved, Mohd
• Is Part Of: Materials today. Volume 80:Part 3(2023)
• Page Start: 2803
• Page End: 2806
• Publication Date: 2023
• Subjects: Artificial Intelligence -- Machine Learning -- E-commerce -- Finance -- Prediction -- Analysis; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2021.07.042
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: In the agriculture and healthcare industries, AI has been deployed to achieve better crop production, disease prediction, continuous monitoring, efficient supply chain management, improved operational efficiency, and reduced water waste, with the main goal of designing standard, reliable product quality control methods and the search for new ways of reaching and serving society while maintaining low cost. Machine learning and deep learning are two of the most often used AI approaches. Individuals, businesses, and government agencies utilize these models to anticipate and learn from data. Machine learning models for the complexity and diversity of data in the real-world applications are being developed at the moment. This article discusses machine learning and artificial intelligence applications in agriculture, healthcare, management, and social studies. Disease Prediction, water irrigation optimization, Sales growth, profit maximization, sales forecast, inventory management, security, fraud detection, and portfolio management are some of the major uses.