ISSN 2394-5125
 

Research Article 


TECHNIQUES FOR PLANT DISEASE DETECTION USING LEAF IMAGES: A REVIEW

Ramanjeet kour, Sanjay Sharma.

Abstract
ABSTRACT
Classification and identification of plant diseases is the biggest task because of their distinct visual symptoms
and visualization is used to correctly identify and classify them. Plant diseases are a major cause of production
and monetary losses in the worldwide industry of agriculture. Plants as well as trees health monitoring and
diseases detection, is a critical issue for sustainable agriculture. In agriculture, there are no electronic sensors
available to monitor and detect diseases in the real-time scenario for health supervision purposes of plants as
well as trees. Currently, digital image processing with artificial intelligence mechanisms is a widely used
concept for monitoring the healthiness of plants and trees based on their leaf images within a specific time
period. In this review article, we present a comprehensive study for plant leaf disease classification using an
existing segmentation algorithm in computer vision tools with an artificial intelligence approach. This review
paper recognizes the need for developing a rapid and cost-effective model based on image processing to achieve
better performance in the agriculture industry that would facilitate advancements in agriculture by designing
intelligence models. So, this paper we present a brief survey of advanced techniques for plant disease detection
using leaf images.

Key words: Keywords: Digital Image, Computer Vision, Crop, Plant Diseases, Segmentation, Artificial Intelligence


 
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Pubmed Style

Ramanjeet kour, Sanjay Sharma. TECHNIQUES FOR PLANT DISEASE DETECTION USING LEAF IMAGES: A REVIEW. JCR. 2020; 7(17): 2345-2348. doi:10.31838/jcr.07.17.289


Web Style

Ramanjeet kour, Sanjay Sharma. TECHNIQUES FOR PLANT DISEASE DETECTION USING LEAF IMAGES: A REVIEW. http://www.jcreview.com/?mno=99335 [Access: August 17, 2021]. doi:10.31838/jcr.07.17.289


AMA (American Medical Association) Style

Ramanjeet kour, Sanjay Sharma. TECHNIQUES FOR PLANT DISEASE DETECTION USING LEAF IMAGES: A REVIEW. JCR. 2020; 7(17): 2345-2348. doi:10.31838/jcr.07.17.289



Vancouver/ICMJE Style

Ramanjeet kour, Sanjay Sharma. TECHNIQUES FOR PLANT DISEASE DETECTION USING LEAF IMAGES: A REVIEW. JCR. (2020), [cited August 17, 2021]; 7(17): 2345-2348. doi:10.31838/jcr.07.17.289



Harvard Style

Ramanjeet kour, Sanjay Sharma (2020) TECHNIQUES FOR PLANT DISEASE DETECTION USING LEAF IMAGES: A REVIEW. JCR, 7 (17), 2345-2348. doi:10.31838/jcr.07.17.289



Turabian Style

Ramanjeet kour, Sanjay Sharma. 2020. TECHNIQUES FOR PLANT DISEASE DETECTION USING LEAF IMAGES: A REVIEW. Journal of Critical Reviews, 7 (17), 2345-2348. doi:10.31838/jcr.07.17.289



Chicago Style

Ramanjeet kour, Sanjay Sharma. "TECHNIQUES FOR PLANT DISEASE DETECTION USING LEAF IMAGES: A REVIEW." Journal of Critical Reviews 7 (2020), 2345-2348. doi:10.31838/jcr.07.17.289



MLA (The Modern Language Association) Style

Ramanjeet kour, Sanjay Sharma. "TECHNIQUES FOR PLANT DISEASE DETECTION USING LEAF IMAGES: A REVIEW." Journal of Critical Reviews 7.17 (2020), 2345-2348. Print. doi:10.31838/jcr.07.17.289



APA (American Psychological Association) Style

Ramanjeet kour, Sanjay Sharma (2020) TECHNIQUES FOR PLANT DISEASE DETECTION USING LEAF IMAGES: A REVIEW. Journal of Critical Reviews, 7 (17), 2345-2348. doi:10.31838/jcr.07.17.289