Research Article
A Comparative Analysis of AI System Development Tools for Improved Outcomes
Ikechukwu Innocent Umeh*
,
Kobimdi Cordelia Umeh
Issue:
Volume 11, Issue 1, June 2025
Pages:
1-20
Received:
12 October 2024
Accepted:
8 November 2024
Published:
17 January 2025
DOI:
10.11648/j.ijsmit.20251101.11
Downloads:
Views:
Abstract: This study presents a comparative analysis of various artificial intelligence (AI) system development tools, emphasizing their effectiveness in enhancing software engineering outcomes. As AI technologies continue to evolve, tools designed for their development have become pivotal in optimizing processes, such as code generation, testing, and deployment. This research systematically evaluates prominent AI tools such as TensorFlow, PyTorch, and GitHub Copilot based on standardized criteria including usability, scalability, performance, and integration capabilities. This study also examines the impact of selected AI tools on collaborative development practices and team dynamics within software projects. Furthermore, the study explored the ethical considerations and potential biases inherent in AI-assisted development, emphasizing the importance of responsible tool selection and usage. The findings indicated that the selection of appropriate AI tools can significantly impact productivity, code quality, and project success. By identifying the strengths and limitations of these tools, this study provides valuable insights for practitioners, aiding them in making informed decisions that align with specific project requirements. Additionally, the analysis highlights gaps in the current landscape of AI development tools and suggests future research directions for fostering innovation in this critical area of software engineering. The findings underscore the need for ongoing education and training for developers to effectively leverage evolving AI technologies in their workflows.
Abstract: This study presents a comparative analysis of various artificial intelligence (AI) system development tools, emphasizing their effectiveness in enhancing software engineering outcomes. As AI technologies continue to evolve, tools designed for their development have become pivotal in optimizing processes, such as code generation, testing, and deploy...
Show More
Research Article
Assessment of Diseases for Major Cereal Crops in Buno Bedele, Ilu Aba Bor and Jimma zones of Southwestern Oromia, Ethiopia
Takele Kusa*,
Latera Dore,
Jara Regassa
Issue:
Volume 11, Issue 1, June 2025
Pages:
21-34
Received:
26 December 2024
Accepted:
17 January 2025
Published:
11 February 2025
DOI:
10.11648/j.ijsmit.20251101.12
Downloads:
Views:
Abstract: A field survey was conducted to assess diseases of three important cereal crops i.e Maize, sorghum and Tef in parts of Southwestern Oromia: Buno Bedele, Ilu Aba Bora and Jima Zones during 2020 to 2022 main cropping season, covering 143 farms altogether. Prevalence, incidence and severity of each disease were scored. A total of 13 major diseases were recorded across six districts on three major cereal crops. This study indicates the presence of multiple diseases at different growth stage of the Maize, Sorghum and Tef cereal crops, at different locations and altitude during the assessment. During the assessment different pathogens attacking those cereal crops varieties were observed across surveyed areas. Diseases recorded on maize include Turcicum Leaf Blight (Exserohilum turcicum), Gray Leaf Spot (Cercospora zeae-maydis), Culvularia Leaf Spot, Maize Lethal Necrosis Disease, Aspergillus ear rot, Maize Streak Virus and Corn Smut (Ustilago maydis). Major diseases recorded on sorghum include Anthracnose (Colletotrichum sublineolum), Leaf Blight (Helminthosporium turcicum Pass), Downy Mildew (Peronosclerospora sorghi), Covered kernel Smut (Sphacelotheca sorghi) and Loose Smut (Sporisorium sorghi. Three diseases i.e head smudge, leaf rust and zonate eye spot were recorded on tef crop. Hence, the information obtained from this survey result gives some evidence on the importance research intervention in the area particularly by developing or adopting integrated disease management options for those recorded major diseases of the cereal crops in the surveyed areas for sustainable cereal crops production. Farmers are responsible for growing and harvesting cereal crops, as well as managing their farms and resources, use resistant variety. They also need to adopt and implement sustainable farming practices that can prevent and control cereal crop diseases, such as crop rotation and intercropping with non-cereal crops, such as legumes and oilseeds, pest management, and soil conservation.
Abstract: A field survey was conducted to assess diseases of three important cereal crops i.e Maize, sorghum and Tef in parts of Southwestern Oromia: Buno Bedele, Ilu Aba Bora and Jima Zones during 2020 to 2022 main cropping season, covering 143 farms altogether. Prevalence, incidence and severity of each disease were scored. A total of 13 major diseases wer...
Show More
