Digital Prototyping and Simulation of a Humidity Control Robot for Tunnel Farming

Amidst the widespread global challenges, this research delves into examining how advanced technology and automation can be incorporated into agriculture technology to address problems like reliance on manual labor, environmental changes, and global warming. It is essential to understand the dynamic climate variations, such as global warming, shifts in weather patterns, and elevated levels of carbon dioxide, and how these factors impact crop growth to adapt farming practices. The research thoroughly examined monitoring and control techniques, integration of robotics, and smartphone applications in the context of the Internet of Things (IoTs) and artificial intelligence (AI). The primary goal is to utilize these technologies in agriculture to improve the quality of crop production and create an environment that is favorable for the best possible results. Developing an effective humidity control system involves the integration of a microcontroller, fans, and feedback mechanism, which plays an important role in the growth of crops. This integrated system successfully reduces and maintains humidity levels within predetermined parameters, facilitating precise and efficient environmental adjustments for tunnel farming.