Crop Decease Detection by using Image Processing Technique – A Review
Abstract
Crop yield and growth are crucial factors that affect farmers and the agricultural industry in all spheres—economic, social, and otherwise. In order to detect diseases in crops at the appropriate time, close observation is therefore required at different stages of crop growth. However, naked humans might not be enough, and false situations might occasionally occur. Accurate identification in this regard depends on the automatic recognition and classification of various crop diseases. I've suggested my research methodology in this paper. The background, problem statement, goals, and scope of the suggested methodology are all included in this chapter.
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