<br /> <b>Warning</b>: Undefined variable $journalName in <b>/home/kloverjournals.org/public_html/journals/sm/issues/articleslist.php</b> on line <b>161</b><br /> January-March - Volume 12, Number 1 |

January-March - Volume 12, Number 1 (2024)

HARNESSING HEAT: EVALUATING THE THERMAL PERFORMANCE OF ARCH GREENHOUSES FOR NURSERY CULTIVATION

Siddharth A. Patil, Meera B. Sharma

📅 February 14, 2024 | 📄 pp. 1-14 | DOI: 10.5281/zenodo.10658447

The cultivation of summer crops during winter poses a significant challenge due to the lack of control over environmental parameters in open-field agricultural practices. In contrast, greenhouse cultivation offers a controlled environment, enabling the year-round cultivation of various crops. This study delves into the critical role of environmental control within greenhouses, emphasizing its impact on the successful cultivation of winter-sensitive crops, including vegetables, flowers, and horticultural crops. In traditional open-field practices, essential environmental factors such as sunlight, air composition, and temperature remain uncontrollable, exerting limitations on the cultivation of specific crops during unfavorable seasons. The inability to regulate these parameters...

BREAKING BOUNDARIES: EULER-MARUYAMA METHODOLOGY FOR UNCERTAIN STOCHASTIC SYSTEMS OF THE FIRST ORDER

Ahmed M. Abubakar, Oluwaseun A. Adeyemi

📅 February 14, 2024 | 📄 pp. 15-27 | DOI: 10.5281/zenodo.10658449

Dynamical systems, serving as indispensable tools for modeling complex phenomena, find widespread application in diverse fields such as biology, engineering, physics, and finance. These systems, characterized by their time-dependent nature, are foundational in understanding the evolving dynamics of various processes. This study delves into the intricate realm of dynamical systems, with a particular focus on addressing uncertainties that inherently influence their behavior. Two primary forms of uncertainty emerge as pivotal factors in the study of dynamical systems: randomness and belief degree. These uncertainties add layers of complexity to the modeling process, requiring specialized mathematical frameworks. To tackle the stochastic nature...