Abstract:
Agriculture sector occupies 25.9% of the world employment.
The demand for food production is rapidly increasing
with the increase of world population. Developing the existing
agricultural infrastructure by incorporating modern technologies
will help to match this increasing demand. This paper proposes a
automated system to optimally control the climate and irrigation
in a greenhouse by monitoring temperature, soil moisture,
humidity and pH through a cloud connected mobile robot which
can detect the unhealthy plants using image processing. A fuzzy
controller will control the heating and cooling system, irrigation
system and humidifiers installed in the greenhouse based on the
sensor readings. The mobile robot navigates through a predefined
map of the greenhouse and collect soil samples to perform
measurements while onboard sensors will collect the ambient
climate data. A camera mounted on the mobile robot will capture
the plant and detect unhealthy crops based on the colour and
the texture of the leaves.
