In modern agriculture, greenhouses are important because they allow farmers to grow plants in climate-controlled environments and maximise yield. The greenhouses are typically constructed in regions where the climatic conditions for plant growth are not ideal, necessitating certain artificial setups to increase output. Automating procedure of a greenhouse requires monitoring and management of the climatic conditions. This research is an attempt to minimise the expense of sustaining greenhouse settings utilising innovative technologies. The ultimate objective of this research is to develop an automated system to optimally monitor and control the environmental parameters inside greenhouses. This system will monitor temperature, soil moisture, humidity, and pH through a cloud-connected mobile robot that can identify sick plants using image processing and machine learning. The mobile robot navigates through a specified map of greenhouse. Database server has established to store obtained real-time data. And the necessary exact data represent by utilising proper application for analysis.
final year project is based on IEEE Paper.this will be one of the best Final year engineering project for computer science.
Components that we will provide are.
1.complete documentation support
2.complete working hardware/software implemented in students environment
3.classes willbe held accordingly.