Volume 11 - Volume 11
Smart Crop Monitoring and Automation Irrigation System Using Machine Learning and IOT
Abstract
Agriculture is still a major occupation in rural areas of India. Increase in technology creates many
opportunities in different fields and attracts human resources from rural areas. Farmers are facing
sever human and natural resource problems. Monitoring crops with low man power is the major
problem. Smart crop monitoring and automation irrigation system deals with these problems by
developing a mobile application which helps farmer to get detailed information about plant diseases
and to use irrigation system efficiently. This model uses image processing techniques to identify the
picture of the leaf and also provides information about temperature and moisture on field. The
Raspberry Pi is the project's control unit, which controls and executes the entire system's operation.
Pi camera is placed at the face of the moving vehicle to take the pictures of the leaves. These pictures
are analyzed using convolution neural network which is an efficient machine learning algorithm. If
the captured leaf image has a disease that is already in the given dataset then farmer will get output
message which contains disease cause and pesticide or fertilizers we need to provide to eradicate the
disease. Mobile application also sends the data which is sensed using sensors.
Paper Details
PaperID: 2316
Author's Name: Y.S.V. Raman, P. Suresh, P. Jnana Sudheer, P. Prudhvi, S. Gopi and A. Narendra Babu
Volume: Volume 11
Issues: Volume 11
Keywords: Raspberry Pi, Convolution Neural Network, Mobile Application.
Year: 2021
Month: July
Pages: 2747-2757