AUTONOMOUS GREENHOUSE

"We are very creative team to make your world green."

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ABOUT PROJECT


WHAT IS THE PROBLEM?

Agricultural areas are losing popularity and the number of people working on this area is decreasing. On the other hand, world population increases each day and reaching fresh vegetables and fruits for all seasons is essential for human health.

WHAT IS OUR SOLUTION?

Our solution is to enhance the greenhouses by making them autonomous. We believe that we will be able to increase productivity and decrease human effort by this way. Our goal is to make greenhouses more common and to supply fresh vegetables and fruits for all seasons in lower costs.

   Our target is not restricted with the commercial greenhouses, we also target the hobby greenhouses. This system can be scaled into any size of greenhouse.

Features

Mobile Application

The mobile application shows the current situation of the greenhouse. The user do not have to go to the greenhouse every day to check his/her greenhouse. S/he can check it just by looking at the app. It is that easy.

The mobile application alerts the user in case of a breakdown. The user can notice the problem immediately and save his/her greenhouse.

The user can select which plant s/he wants to grow. The mobile app provides the optimum growing conditions for selected plant to maximize the productivity. There is a library about optimum growing conditions for various plants. Anyone can be a greenhouse owner, even they do not know anything about agriculture.

Autonomous Management

All the systems in the greenhouse are managed autonomously. The user do not have to do anything other than harvest.

Internet of Things

All the components communicate wirelessly in order to avoid physical deformation of cables. The systems and the sensors communicate through ZigBee protocol, and the main control unit communicates with outside of the greenhouse through WiFi.

Cloud Computing

Collected data about the greenhouse environment is stored in the cloud. It is easy to use, easy to maintain and always accessible.

Machine Learning

Machine learning techniques are applied to make the greenhouse environment more stable. Stored data in the cloud is used for creating a model. According to this model, future environmental conditions are predicted and fluctuations are reduced. Plants are sensitive to sudden changes, stability of environment is important for productivity.

Our Documents

You can reach our documents from here. If you have any questions or comments, please do not hesitate to contact us!

Meet Our Team

We are very curious team

Büşra Sütbaş

Developer

Münteha Nur Bedir

Developer

Büşra Sultan İçli

Developer

Ayşenur Özmen

Developer

Reach Us

You can contact us or leave a message

Orta Doğu Teknik Üniversitesi
Üniversiteler Mahallesi, Dumlupınar Bulvarı No:1
Çankaya, Ankara 06800

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