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Plant Disease Detection by Using TensorFlow

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dc.contributor.author Akter, Nowrin
dc.date.accessioned 2021-04-27T04:40:09Z
dc.date.available 2021-04-27T04:40:09Z
dc.date.issued 2021-01-28
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5647
dc.description.abstract My research paper titled “Plant Disease Detection by using TensorFlow’’ which focus on our farmer’s basic problem. Bangladesh is an agricultural country. Every year farmers of Bangladesh produce huge amounts of crops and we fully depends on it. But it is not so easy to take care of crops. There are many diseases that can harmfully effect our crop. Most of the time we cannot identify those diseases and also cannot take proper step to solve our problems. So I think about this and try to do something. Now everything became smart and technology dependent. We can see that the use of Artificial intelligence (AI) and machine learning everywhere. Following this, I built here a system. A system that is smart, fast and that system can identify the diseases of our crops. I use here python CNN model and TensorFlow library to classifying the diseases of crops. This system can make our work easy with big farm to identify the disease of tree or crops. We hope that it will make our work more accurate in less time and farmer of Bangladesh will also get benefits from here. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Plants--Virus diseases en_US
dc.subject Crop improvement en_US
dc.title Plant Disease Detection by Using TensorFlow en_US
dc.type Other en_US

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