Plant Disease Detection: A Survey

Author(s)	Ashutosh Mishra, Ankit Arora
Country	India
Abstract	Agriculture is an important part in the human lives and economy of the countries. Agriculture based countries like India are greatly dependent on their agricultural outcome for feeding the large population. Crop yields plays a major factor in the economy of every country. Agricultural production and economic development are closely connected. Moreover, agriculture provides the vital food to feed all living creatures on earth. Plant diseases are a significant threat to farmers, food production and economic well-being of the country. Significant research in this domain is required to protect the vital resource of food. This paper studies/reviews/surveys the different areas of this computer vision problem, the challenges that exists for developing a robust plant-disease detection system, which can be utilized to plant diseases.
Keywords	Plant Disease Detection, Machine Learning, Image Features Classification
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 4, Issue 5, September-October 2022
Published On	2022-09-11
Cite This	Plant Disease Detection: A Survey - Ashutosh Mishra, Ankit Arora - IJFMR Volume 4, Issue 5, September-October 2022. DOI 10.36948/ijfmr.2022.v04i05.028
DOI	https://doi.org/10.36948/ijfmr.2022.v04i05.028
Short DOI	https://doi.org/10/gqvmzc

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