Detection of Rice Hispa Disease using a Deep Learning Model: CNN model for detection of Rice Hispa Disease Severity Levels - Softcover
Inhaltsangabe
Agriculture is the most important element of the globe, and large-scale agricultural operations around the world make it more susceptible to numerous diseases. Rice is one of the most important agricultural plants cultivated in enormous quantities. There are a variety of rice illnesses that impact rice crop plantations in various ways, and detecting and recognising them is one of the most difficult tasks. An endeavour has been initiated to use deep learning to recognise rice hispa illness. In order to carry out the experimental work with a real-time dataset of rice hispa and healthy rice crop plant, a CNN-based deep learning approach was used. The detection of rice hispa disease was divided into two parts: the first was a binary classification based on healthy and sick plants, and the second was a multi-classification based on five severity levels of the disease. The suggested architecture and model serves as a rice disease detection (RDD) system for rice hispa disease, assisting farmers and cultivators in recognising and detecting rice crop plants and taking appropriate and timely action.
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Über die Autorin bzw. den Autor
Dr. Vinay Kukreja is presently working as an Associate Professor in Department of Computer Science and Engineering at Chitkara University, Punjab, India. His research areas are machine learning, deep learning and agile development.Rishabh Sharma is a B.Tech (IT), M.E.(CSE) and currently pursuing Ph.D from Chitkara University, Punjab, India.
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Detection of Rice Hispa Disease using a Deep Learning Model
Verlag:
LAP LAMBERT Academic Publishing Okt 2021, 2021
ISBN 10: 6204211110
ISBN 13: 9786204211114
Neu
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Agriculture is the most important element of the globe, and large-scale agricultural operations around the world make it more susceptible to numerous diseases. Rice is one of the most important agricultural plants cultivated in enormous quantities. There are a variety of rice illnesses that impact rice crop plantations in various ways, and detecting and recognising them is one of the most difficult tasks. An endeavour has been initiated to use deep learning to recognise rice hispa illness. In order to carry out the experimental work with a real-time dataset of rice hispa and healthy rice crop plant, a CNN-based deep learning approach was used. The detection of rice hispa disease was divided into two parts: the first was a binary classification based on healthy and sick plants, and the second was a multi-classification based on five severity levels of the disease. The suggested architecture and model serves as a rice disease detection (RDD) system for rice hispa disease, assisting farmers and cultivators in recognising and detecting rice crop plants and taking appropriate and timely action. 64 pp. Englisch. Bestandsnummer des Verkäufers 9786204211114
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Detection of Rice Hispa Disease using a Deep Learning Model
Verlag:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204211110
ISBN 13: 9786204211114
Neu
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kukreja VinayDr. Vinay Kukreja is presently working as an Associate Professor in Department of Computer Science and Engineering at Chitkara University, Punjab, India. His research areas are machine learning, deep learning and agile d. Bestandsnummer des Verkäufers 524960389
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Detection of Rice Hispa Disease using a Deep Learning Model
Verlag:
LAP LAMBERT Academic Publishing Okt 2021, 2021
ISBN 10: 6204211110
ISBN 13: 9786204211114
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -Agriculture is the most important element of the globe, and large-scale agricultural operations around the world make it more susceptible to numerous diseases. Rice is one of the most important agricultural plants cultivated in enormous quantities. There are a variety of rice illnesses that impact rice crop plantations in various ways, and detecting and recognising them is one of the most difficult tasks. An endeavour has been initiated to use deep learning to recognise rice hispa illness. In order to carry out the experimental work with a real-time dataset of rice hispa and healthy rice crop plant, a CNN-based deep learning approach was used. The detection of rice hispa disease was divided into two parts: the first was a binary classification based on healthy and sick plants, and the second was a multi-classification based on five severity levels of the disease. The suggested architecture and model serves as a rice disease detection (RDD) system for rice hispa disease, assisting farmers and cultivators in recognising and detecting rice crop plants and taking appropriate and timely action.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Bestandsnummer des Verkäufers 9786204211114
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Detection of Rice Hispa Disease using a Deep Learning Model : CNN model for detection of Rice Hispa Disease Severity Levels
Verlag:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204211110
ISBN 13: 9786204211114
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Agriculture is the most important element of the globe, and large-scale agricultural operations around the world make it more susceptible to numerous diseases. Rice is one of the most important agricultural plants cultivated in enormous quantities. There are a variety of rice illnesses that impact rice crop plantations in various ways, and detecting and recognising them is one of the most difficult tasks. An endeavour has been initiated to use deep learning to recognise rice hispa illness. In order to carry out the experimental work with a real-time dataset of rice hispa and healthy rice crop plant, a CNN-based deep learning approach was used. The detection of rice hispa disease was divided into two parts: the first was a binary classification based on healthy and sick plants, and the second was a multi-classification based on five severity levels of the disease. The suggested architecture and model serves as a rice disease detection (RDD) system for rice hispa disease, assisting farmers and cultivators in recognising and detecting rice crop plants and taking appropriate and timely action. Bestandsnummer des Verkäufers 9786204211114
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Detection of Rice Hispa Disease using a Deep Learning Model | CNN model for detection of Rice Hispa Disease Severity Levels
Verlag:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204211110
ISBN 13: 9786204211114
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. Detection of Rice Hispa Disease using a Deep Learning Model | CNN model for detection of Rice Hispa Disease Severity Levels | Vinay Kukreja (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204211114 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 120787031
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