Research on Innovative Business Plan. Smart Cattle Farming Using Artificial Intelligent Robotic Process Automation

Micle, Diana Elena and Deiac, Florina and Olar, Alexandru and Drența, Raul Florentin and Florean, Cristian and Coman, Ionuț Grigore and Arion, Felix Horațiu (2021) Research on Innovative Business Plan. Smart Cattle Farming Using Artificial Intelligent Robotic Process Automation. Agriculture, 11 (5). p. 430. ISSN 2077-0472

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Abstract

Integrating livestock management with the required devices and sensors is now seen as a critical factor in the agricultural sector’s long-term success. The findings revealed that the agricultural business sector is open to implementing Information and Communication Technology (ICT) solutions, so the aim of this paper is to determine how advantageous it is for Romanian farmers to invest in a project that employs smart cattle farming methods that incorporate Artificial Intelligence (AI), Robotic Process Automation (RPA) and the Internet of Things (IOT). An unstructured interview was used to gather empirical evidence during a focus group meeting. Analyzing the selected primary performance metrics, it was projected that the farm’s profitability would increase by 19 percent, productivity would increase by 21 percent, and the farm’s environmental impact would decrease by 22 percent. Automation and remote work would help minimize the farm’s worker burden while also making control panels, decision-making files, and data analysis more available. In order for the domain to be as prosperous as possible, farmers must be made aware of the benefits of using these emerging technologies for closing the gap between farmers and Information Technology (IT) solution providers, and this can be accomplished through continuous training for both farmers and their technology vendors.

Item Type: Article
Subjects: Institute Archives > Agricultural and Food Science
Depositing User: Managing Editor
Date Deposited: 15 Mar 2023 08:57
Last Modified: 27 Feb 2024 03:58
URI: http://eprint.subtopublish.com/id/eprint/615

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