## 3 Results and Discussion
### Limitations, Future Outlooks, and Related Studies
This approach, along with the simultaneous utilization of instruments such as the Konica's Minolta SPAD-502 m and other affordable alternatives already in-house developed [61], which are employed for assessing plant health by analyzing their relative chlorophyll content, will permit the methods presented here to be incorporated into a broader field of research for plant growth monitoring. We are of the opinion that there is room for enhancing the user friendliness of this system and expanding its applicability to a wider range of users. Our objective is not to encompass every conceivable plant species, but rather to establish a system that canbe easily expanded and adapted to meet evolving needs. To this end, we are currently developing an enhanced iteration of our system. Our ongoing efforts involve expanding our robotic camera positioning system to function as a Cartesian robot. This advancement will enable us to cover a larger area and grant the camera platform the freedom to be positioned at any point within the x-y coordinate system, specifically above the crop canopy. The utilization of small-scale robotic machines or CNC-based mechanization techniques in agricultural operations, as demonstrated in similar published works, as for example, in [4; 14; 25; 38], showcases the effectiveness of employing Cartesian robots to address the issue of precise movement and among others, to cover a wider area of plants in the investigation, a fact that possesses a design advantage over our current system's implementation. However, this can be achieved either by programming the cameras to move in stable increments and to stop at specific locations to acquire images [14], or through the establishment of predetermined coordinates and predefined targets [25; 38], or even manually operating them to stop at specific locations to acquire images [4]. The image capturing and processing device, for example, as presented in [4], although interesting in its implementation, is entirely manually operated by a user. This user must utilize a toggle switch each time to maneuver the system forward or backward along the track for image data collection and the subsequent crop status monitoring. Our proposed system differs significantly from conventional manual practices, since it can operate autonomously, with minor user interaction. Furthermore, it features automatic identification, localization, and image capturing of the plants being analyzed, thus alleviating the burden of plant photography for human photographers and crop researchers. Moreover, in contrast to approaches that rely on fixed spaces or specific plant locations, as compared to the solutions presented in [14; 25; 38], the linear robotic camera system developed in this study continuously scans a row of target plants and accurately detects and localizes the plants themselves using simple image processing techniques and OpenCV primitives. This system allows users the flexibility to position the targeted plants in any desired arrangement inside a row, with the robot seamlessly adjusting to the new configuration. This facilitates a more efficient utilization of the typically limited space within a small greenhouse.