Ceres

Proposal for the Development of a Robotic Urban Garden/Greenhouse using OpenCV

I. Introduction:

Agricultural automation has become an essential element to increase efficiency and productivity in the industry. This proposal focuses on the development of a Robotic Urban Garden, which consists of a control system working in conjunction with a robotic arm, an innovative solution that combines automation and robotics using OpenCV libraries. The goal is to create an intelligent system capable of monitoring, analyzing, and making real-time decisions for the care and maintenance of plants in an urban garden, which could be extended to a greenhouse.

II. Idea and Objectives:

The fundamental idea is to create a controlled environment where the robotic arm performs specific tasks such as pruning, collecting visual data, and soil removal. It will work in conjunction with a control system that manages variables within the garden/greenhouse, such as humidity, temperature, soil electrical conductivity, among others. The main objectives include:

Automating plant care tasks within the garden/greenhouse.

• Automating plant care tasks within the garden/greenhouse.
  

Utilizing OpenCV libraries.

• Utilizing OpenCV libraries.
  

Making decisions based on visual data for irrigation and maintenance actions.

• Making decisions based on visual data for irrigation and maintenance actions.
  

III. Conceptual Design:

The robotic greenhouse consists of a mobile robotic arm equipped with a camera and a greenhouse/urban garden with sensors. The robotic arm will navigate the greenhouse, carrying out daily activities such as pruning and collecting data using the integrated control system of the garden/greenhouse with the use of OpenCV.

IV. Benefits of OpenCV:

OpenCV provides a robust platform for real-time image analysis. Its capabilities in object detection, motion tracking, and image processing will be crucial for the Robotic Greenhouse to make accurate and rapid decisions regarding plant care.

V. Proposed Process:

Data Acquisition: The robotic arm will capture images of the plants and the environment through an integrated camera.

Plant Detection and Tracking: OpenCV will be used to identify plants, track their growth, and detect signs of diseases.

Robotic Arm Control: Based on image analysis, the robotic arm will make decisions on actions such as automated irrigation and pruning.

Integration with Control Systems: The results of image processing will communicate with the integrated control systems in the garden/greenhouse to execute the aforementioned tasks.

VI. Expected Results:

The goal is to achieve a functional system that demonstrates the viability of a robotic greenhouse/urban garden using OpenCV. The results will include efficient monitoring of plant health, improved plant growth, increased efficiency in plant care and monitoring tasks, and the potential for extending this system from a garden (which serves as the foundation of this project) to a greenhouse.

VII. Conclusions:

The proposal for the development of a Robotic Urban Garden/Greenhouse using OpenCV promises to revolutionize automation in agriculture. The combination of robots and image processing will enable a highly efficient and autonomous greenhouse, enhancing crop quality and optimizing resources.