Monitoring the Soil Moisture, Water Level Using Sensors and Early Crop Disease Detection Using Image Processing
Loading...
Files
Date
2018-09-01T12:25:34Z
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The prime need of this world is best agriculture which decides the development of each country
as the survival of human being is completely dependent on farming and its best production.
The main problem that is observed in most of the regions of farming is the early diseases in
crops, no proper monitoring of soil moisture, water level and pH because of which the
production results in low level identification of diseases on plant and It is also important to take
the primitive measures in monitoring of soil moisture, salinity and PH of the growing crops. In
this work, we propose a solution for early disease detection of crops using image processing and
it also illustrates, how basic requirements of growing plants such as soil moisture, salinity and
pH are controlled and monitored using IOT enabled Arduino sensors.
The developed processing scheme for detecting the disease in plants consists of four main steps,
first a color transformation structure for the input RGB image is created, this RGB is converted
to HSI because RGB is for color generation and is for color descriptors. Then green pixels are
masked and removed using specific threshold value, then the image is segmented and the useful
segments are extracted, finally the texture statistics is computed. Finally the presence of diseases
on the plant leaf is evaluated and if the result is disease in plant then an email is sent to the
farmer else not. In the other part of the processing scheme soil moisture sensor is used for
monitoring the moisture in the soil and the value of moisture is sent to farmer via
Description
Keywords
Nishant Kumar, Payal Jain C, Rupendra Pratap Singh, 1NH14IS069, 1NH14IS072, 1NH14IS098, Monitoring the Soil Moisture, Water Level Using Sensors and Early Crop Disease Detection Using Image Processing