This paper studied and investigated existing techniques for the detection of early plant diseases and found each of the techniques has given its unique results by choosing appropriate datasets and algorithms.
As agriculture is a very important field in the Economy and social life, there exist many challenges to overcome. In this aspect, plant disease detection is one of the major issues to farmers for early detection. Many research methods had come up with the lowest turnaround time and to produce an accurate result for early identification of plant disease through proposing many algorithms and techniques. Even though there are many pitfalls found then and there, each of the techniques has given its unique results by choosing appropriate datasets and algorithms. In this paper, we studied and investigated existing techniques for the detection of early plant diseases.