Accounting

Permanent URI for this collectionhttps://dspace.summituniversity.edu.ng/handle/123456789/26

Browse

Filters

20242

Settings

Subject: search.filters.subject.Accounting Information System

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    ENHANCING EFFICIENCY OF ACCOUNTING INFORMATION SYSTEM AND NON-FINANCIAL PERFORMANCE IN THE AGRO-ALLIED COMPANIES IN NIGERIA USING AI.
    (2024) AKANNI MUHAMMED TOHA OLATUNBOSUN
    In this study, we assessed the effectiveness of nonfinancial performance measures and Accounting Information System (AIS) in Agro-allied Industries in Nigeria using Artificial Intelligence (AI). The efficiency of accounting information systems in tracking accounting Operations in the performance of Agro-allied enterprises has not been thoroughly demonstrated Since the debut of these systems. Thus, the goal of this study is to investigate the effects of Accounting Information System (AIS) on the Agro-allied companies and non-financial and Financial performance in Nigeria. An emerging technology in agriculture is artificial intelligence. In reality, tools and equipment Powered by artificial intelligence have raised the bar for the agriculture industry. This innovative Technology has enhanced instantaneous monitoring, processing, and collection as well as crop productivity. The most current computerized structures that use drones and remote sensing have significantly improved the Agro-based sector. Furthermore, through providing cyclic data on yield status during study periods at varied degrees and for diverse characteristics, remote sensing has the potential to promote the development of farming technologies aimed at overcoming this primary challenge. Different computer-supported, high-tech structures are developed to identify various central factors, including crop quality, yield recognition, plant detection, and several other techniques. This paper presents the methods used to analyze the data gathered in order to increase output, anticipate potential risks, and lighten the work load for growers.
  • No Thumbnail Available
    Item
    ENHANCING EFFICIENCY OF ACCOUNTING INFORMATION SYSTEM AND NON-FINANCIAL PERFORMANCE IN THE AGRO-ALLIED COMPANIES IN NIGERIA USING AI.
    (2024) AKANNI MUHAMMED TOHA OLATUNBOSUN
    In this study, we assessed the effectiveness of nonfinancial performance measures and Accounting Information System (AIS) in Agro-allied Industries in Nigeria using Artificial Intelligence (AI). The efficiency of accounting information systems in tracking accounting Operations in the performance of Agro-allied enterprises has not been thoroughly demonstrated Since the debut of these systems. Thus, the goal of this study is to investigate the effects of Accounting Information System (AIS) on the Agro-allied companies and non-financial and Financial performance in Nigeria. An emerging technology in agriculture is artificial intelligence. In reality, tools and equipment Powered by artificial intelligence have raised the bar for the agriculture industry. This innovative Technology has enhanced instantaneous monitoring, processing, and collection as well as crop productivity. The most current computerized structures that use drones and remote sensing have significantly improved the Agro-based sector. Furthermore, through providing cyclic data on yield status during study periods at varied degrees and for diverse characteristics, remote sensing has the potential to promote the development of farming technologies aimed at overcoming this primary challenge. Different computer-supported, high-tech structures are developed to identify various central factors, including crop quality, yield recognition, plant detection, and several other techniques. This paper presents the methods used to analyse the data gathered in order to increase output, anticipate potential risks, and lighten the work load for growers.