Submission Requirements

SADI Journal is an international open access peer review journal publishing platform that is focused on promoting open access Journals and supporting the academic community by making academic research more accessible and promoting collaboration among researchers from different parts of the world. By providing publishing and academic services, SADI Journal helps to support the career development of researchers and academics, which ultimately leads to the advancement of knowledge, the development of new ideas and innovations. 

We appreciate your interest in submitting your work for consideration, and we look forward to reviewing your manuscript. To ensure a smooth and efficient review process, we have created Authors' guidelines and Publication Policy to help you prepare and submit your manuscript in the most professional and effective manner possible. Please read through these guidelines carefully before submitting your work, and don't hesitate to contact us if you have any questions or concerns. All submission must be done online. See guide on how to create your account with our Journal and make submission. We wish you the best of luck in your writing journey and thank you for considering us as a potential publisher.

Articles in Press

Original Peer Review Articles

  • ENHANCEMENT OF PRODUCTION CAPACITY OF TOMATO YIELDS IN GREENHOUSE USING MODEL PREDICTIVE CONTROLLER
    Okolotu G.I, Ogbu, Mary Nnenna C

    The low production of tomatoes in a greenhouse has reduced the financial status of those concerned and the country at large. This can be achieved by introducing an enhanced production capacity of tomato yield in greenhouse using Model Predictive Controller (MPC). This research work was done by

    1-9
    DOI: https://doi.org/10.5281/zenodo.12607424
  • OPTIMIZING WIND FARM LAYOUTS USING HISTORICAL DATA AND COMPUTATIONAL FLUID DYNAMICS: A COMPUTATIONAL FRANDSEN WAKE MODEL AND DIFFERENTIAL EVOLUTION ALGORITHM
    Osadolor Alexander Osayimwense, Showole Afeez Olamide, Asamoah Gideon Akwasi, Eze Tochukwu Judethaddeus

    The increasing demand for sustainable energy solutions has heightened the importance of optimizing wind farm layouts to enhance efficiency and energy output. This study investigates the optimization of wind turbine placement using historical SCADA data, computational fluid dynamics (CFD), and

    10-25
    DOI: https://doi.org/10.5281/zenodo.13772577