A Review: Crop Plant Disease Detection Using Image Processing
Shashank Chaudhary1, Upendra Kumar2, Abhishek Pandey3

1Shashank Chaudhary, Computer Science & Engineering, AKTU Lucknow (U.P) India.
2Dr Upendra Kumar, Computer Science & Engineering, IET Lucknow (U.P) India.
3Dr Abhishek Pandey, Information Technology, IIIT Lucknow (U.P) India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 472-477 | Volume-8 Issue-7, May 2019 | Retrieval Number: G3506058719/19©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: This paper discusses various plant diseases and how to improve precision agriculture (PA) using Image processing. The aspects considered are the higher yielding and result in good quality of crop production. Precision agriculture (PA) is necessary to improve agricultural productivity of specific crop. Image processing is an important tool for identification of plant diseases, whereas manual detection of crop plant disease is a difficult task as it takes serious observation (need implementation expert of automated system) and consumes much time. Another outcome from the study is that automatic detection can be very good aspect for identification of crop disease.
Keyword: Plant Pathology, Nutrients, Leaf Sheath, Image Processing.
Scope of the Article: Signal and Image Processing.