Implementation of Agri Robot to Control Crop Disease using Image Processing
Pavithra.R1, Hariharan.K2, Nithish kumar.S3, Arun kumar.A4, Malathi.S5
1R.Pavithra, Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India.
2K.Hariharan, Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India.
3S.Nithish kumar, Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India.
4A.Arun kumar, Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India.
5S.Malathi, Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 864-867 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5272059720/2020©BEIESP | DOI: 10.35940/ijitee.G5272.059720
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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: An AGRI ROBOT for the discovery of yield sicknesses utilizing image processing procedures has been proposed in this paper. This epic innovation of utilizing image processing strategies includes the accompanying advances image acquisition, image pre-processing, image Segmentation, feature extraction in image and detection of crop diseases. This proposed venture utilizes image processing strategy for the recognizable proof of yield infection in MATLAB. With the assistance of image processing, Automatic location of differed ailments are regularly identified with the help of image processing. Image processing assumes a significant job inside the recognition of plant infections since it gives best outcomes and decreases the human endeavors. This venture is utilized to recognize the harvest illnesses and give answers for recuperate from the sickness. This tale innovation centered to structure a versatile application framework, so this framework helps the ranchers as they couldn’t ready to screen the field for twenty four hours.
Keywords: Agri robot, Zigbee, Crop diseases, Image processing, Disease detection, MATLAB.
Scope of the Article: Image analysis and Processing