Cotton Leaf Disease Detection Using Pattern Recognition Technique

Information Technology

The large number of individuals depends on cotton crop. The popularity of cotton disease are of the most important as they have a cogent and momentous impact on quality and production of cotton. Cotton disease identification is an art and science. Now a day’s image processing technique becoming a key technique for diagnosing the many features of the crop. This paper mainly focuses detection of varied cotton crop diseases and to classify them. There are classification techniques like k-Nearest classifier, k-means clustering. A sensible phone empowers farmer to stay updated with the going conditions of his agricultural land using IOT at any time and any part of the planet. This identification and detection of disease is possible by using pattern recognition techniques on the different parts of cotton crop. IOT technology can reduce the value and enhance the productivity of traditional farming, not every farmer buy smart phone they mainly focuses on the crops growing, there is a lagging thing in most of the farmers

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