IJBTT

Plants Disease Detection using Image Processing Techniques
	© 2021 by IJCTT Journal
	Volume-69 Issue-7
	Year of Publication : 2021
	Authors : Dr. Suresh M B, Poorvika N, Sri Priya K, Varsha S, Sushma P Nagesh
	DOI :  10.14445/22312803/IJCTT-V69I7P102

How to Cite?

Dr. Suresh M B, Poorvika N, Sri Priya K, Varsha S, Sushma P Nagesh, "Plants Disease Detection using Image Processing Techniques," International Journal of Computer Trends and Technology, vol. 69, no. 7, pp. 19-23, 2021. Crossref, https://doi.org/10.14445/22312803/IJCTT-V69I7P102

Abstract
Identifying plant diseases is essential for preventing losses in agricultural product production and quantity. The study of plant diseases entails the examination of visually discernible patterns on the plant. Plant health monitoring and disease detection are crucial for sustainable agriculture. Manually monitoring plant diseases is quite tough. It necessitates a great deal of effort, as well as knowledge of plant diseases and long processing times. As a result, by taking Images of the leaves and comparing them to data sets, image processing is utilized to identify plant illnesses. The data collection is made up of several plants in Image format. Apart from detection, consumers are led to an e-commerce website that lists several pesticides along with their rates and usage instructions. This website may be used to compare the MRPs of various pesticides and purchase the ones necessary for the disease identified. This document intends to effectively support and assist greenhouse growers.

Keywords
Plant disease detection, Tensor flow, Greenhouse, Convolution neural network.

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