• Pardeep kumar
• Neha Bathla

The main difficulty faced in image processing is to detect the disease of plants. There are four phases in which plant disease is detected such as pre-processing, segmentation, feature extraction and classification. In the pre-processing stage, the contrast of the input image is de-noised or increased. The points which are not visible are highlighted; the PNSR (peak signal noise ratio) is maximized and the magnitude signal error value of the image is mitigated in this stage. The second stage is the segmentation. There are two kinds of segmentation methods: threshold and region-based segmentation. The various type of feature selection algorithms are used for the feature extraction. The various schemes which are already proposed for the plant disease detection are reviewed in this paper.

Plant disease, Feature extraction, Segmentation, Classification

"Plant Disease Detection Techniques: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.e18-e26, February-2023, Available :http://www.jetir.org/papers/JETIR2302403.pdf

"Plant Disease Detection Techniques: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppe18-e26, February-2023, Available at : http://www.jetir.org/papers/JETIR2302403.pdf