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Agriculrtural Robot for Plant Health Indication
Deshmukh Bhakti S.1, Gharte Sneha H.2, Nagare Shruti R.3, H. R. Deshmane4

1Deshmukh Bhakti S., Department of Electronics and Telecommunication, Late G. N. Sapkal College of Engineering, Nashik (Maharashtra). India.
2Gharte Sneha H., Department of Electronics and Telecommunication, Late G. N. Sapkal College of Engineering, Nashik (Maharashtra). India.
3Nagare Shruti R., Department of Electronics and Telecommunication, Late G. N. Sapkal College of Engineering, Nashik (Maharashtra). India.
4Prof. H. R. Deshmane, Department of Electronics and Telecommunication, Late G. N. Sapkal College of Engineering, Nashik (Maharashtra). India.

Manuscript received on 15 February 2017 | Revised Manuscript received on 22 February 2017 | Manuscript Published on 28 February 2017 | PP: 186-188 | Volume-6 Issue-3, February 2017 | Retrieval Number: C4858026317/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: It is difficult task for producing agricultural products, various micro-organisms, pests and bacterial diseases attack on plants. These diseases can occur through the leaves, steams or fruit inspection. This paper covers technique of image processing for early detection of plant disease through feature extraction of leaf and preprocessing of image from RGB (YCbCr) to different color space conversion, image enhancement; segment the region of interest. Minimum distance classifier is used to compare extracted features from original image and stored database. When plant disease is detected fertilizer motor gets ON. By using Graphical User Interface symptoms and fertilizer for detected disease will displayed on computer. The robot has also watering mechanism it will water the plants according to their needs by observing temperature and LCD will display the temperature. Working of the Robot is based on Bluetooth.
Keywords: Plant Health, Open Agriculture, Bluetooth, Database.

Scope of the Article: Healthcare Informatics