Germination Seedling Detection

At Gts, we pioneer the development of high-tech vertical farms—an innovative method of crop cultivation that operates indoors. Notably, vertical farming allows for complete control over environmental conditions, eliminates the need for pesticides, drastically reduces water usage, and facilitates farming close to urban centers where the produce is consumed. Consequently, a crucial aspect of maximizing yield and quality in such farms is the selection of the most robust seedlings. However, this selection process is traditionally labor-intensive. Furthermore, by implementing advanced technology, we can streamline this process and ensure optimal results. Additionally, this approach aligns with our commitment to sustainable and efficient agricultural practices.

Dataset Description: To address this challenge, our dataset comprises images of seedling plugs, each containing multiple seedlings ready for vertical farming. By utilizing computer vision techniques on this dataset, it becomes possible to develop models capable of detecting individual seedlings and evaluating their health and growth potential. Consequently, this automated assessment significantly helps in identifying the highest quality seedlings for transplantation into vertical farms, thereby optimizing the crop production process. Furthermore, the use of advanced technology enhances accuracy and efficiency in the selection process, ultimately leading to better overall farm productivity.