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Diseases Detection of Various Plant Leaf Using Exploratory Data Analysis and Pytorch

. Manvi Ahuja and Nishtha Department of Botany (Biosciences),Branch Botany , UIBT , Chandigarh University NH-95, Ludhiana – Chandigarh state Highway , Punjab 140413, India.


Abstract

Livelihhood is the achieved by major source of agriculture. In India employment can also be provided by Agricultural sources on larger scale. Developing countries are providing the employment as crucial pandemic time is going on so that  many prople are getting benefitted by agricultural means. Developing countries are having major source like 70% people are dependent on agricultural sources for their survival[1]. Due to non availability of technical education they are dependent on the cultivation of various variety of crops and vegetables.  They are using the tradition ancient methods of cultivation. For better cultivation they are required to provide the knowledge of latest tools and techniques.   They do not have enough guidance what climate and other means are required to get the maximum yield. They need to be provided sessions to provide them awareness about the lates tools and which crop can be cultivated in which season and what are the factors responsible so that maximum yield can be achieved. When plants are affected by many diseases then cultivation is affected a lot. Chemical spraying effects the human health directly which is used by majority of farmers for disease protection. Identification of forthcoming diseased plants is also a big challenge for farmers. Detection of diseased plants are done by latest techniques. We have done the surveys for the identification of the diseased plants data.

 

Keywords :- Pesticidal chemicals, crops, yield, seeds, harvesting.

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