International Journal of Management IT and Engineering
  • Year: 2018
  • Volume: 8
  • Issue: 12

Detection, Classification & Quantification of plant diseases using Digital Image Processing: A Survey

  • Author:
  • Sannihita Pattanaik
  • Total Page Count: 13
  • Page Number: 54 to 66

Research Scholar, Department of Computer Science and Applications, Sambalpur University, Odisha, India, Email: sannihital990@gmail.com

Online published on 18 October, 2019.

Abstract

With natural calamities plant diseases also plays a major role in severe damage of agricultural product. As India is an Agricultural country, so this damage cracks the pillar of economy. So it is very much important to detect and prevent the crop from being affected by different diseases. This paper presents a survey on different types of Digital Image processing techniques to detect, classify & quantify plant diseases, in the visible spectrum. This paper is expected to be useful for researchers, working on Pathology on plants.

Keywords

Disease Detection, agriculture, Pathogen, DIP