Farming Robot

Authors

  • Harsha Madhavdas Chirmade  Digital Electronics Engineering, G. H. Raisoni College of Engineering, Jalgaon, Maharashtra, India
  • Mayuri Gachake  Digital Electronics Engineering, G. H. Raisoni College of Engineering, Jalgaon, Maharashtra, India

Keywords:

ARM7, Image processing, Irrigation Robot

Abstract

Agriculture is very labour intensive field and only field where the robots are not involved. Now-a- days many Industries are trying to reduce this human labour by making robots and machines. A vision based row guidance Method is presented to guide a robot platform which is designed independently to drive through the row crops in a field according to the design concept of open architecture. Then, the offset and heading angle of the robot Platform are detected in real time to guide the platform on the basis of recognition of a crop row using machine Vision. And the control scheme of the platform is proposed to carry out row guidance. Here we are designing a autonomous intelligent farming robot which indicates the plant health by observing the colour of their leaves and based on the height of the plant. The robot also notes the surrounding environmental conditions of the plant like Temperature, humidity so that the robot will decide about health of plat and will display on the LCD. The robot has also watering mechanism it will water the plants according to their needs by observing temperature and humidity. It will also tell when the cutting process should take place by observing the leaf colour.

References

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International Journal of Scientific Research in Science and Technology

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Published

2017-06-30

Issue

Volume 3, Issue 4, May-June-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Harsha Madhavdas Chirmade, Mayuri Gachake, " Farming Robot, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 4, pp.172-175, May-June-2017.