Autonomous Robot Camera for Detecting theLeaf Diseases of Agricultural Plants using ImageTheory Algorithm

  • A. A. M
  • et al.
N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

Now a day in India here is automation in every field even in agriculture also. Appropriate ambient conditions are necessary for optimum plant growth, improved crop yields, and efficient use of water and other resources. Automating the data acquisition process of the soil conditions and various climatic parameters that govern plant growth allows information to be collected at high frequency with less labor requirement with the help of robot with high quality camera for leaf diseases detection using line follower image algorithm. Different types of sensors are used such as LM 35, humidity, soil fidelity and Light sensors for controlling and monitoring plant house. The Robot camera detects an image is in the form of JPEG, sends to ARM controller by using Zigbee Transmission theory in an long distance away from plants for plant health detection automatically and controlling action is done such as to control the motor drive by the SPDT relays also.

Cite

CITATION STYLE

APA

A. A., Ms. W., & Y. R., P. G. (2016). Autonomous Robot Camera for Detecting theLeaf Diseases of Agricultural Plants using ImageTheory Algorithm. Global Research and Development Journals. https://doi.org/10.70179/wm1nae18

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free