Sinossi
The aim of the groundnut leaf disease classifier is to identify the relevant leaf disease with better classification accuracy. Identifying and managing the plant disease of a particularly rural area and developing a farmer-friendly expert system for precession farming. Enhancing the DCNN performance by using probabilistic graphical models of the DCNN method for detecting and managing plant disease. Mapping the plant diseases of India and developing a prediction-based approach for the farmers considering different crop varieties with varying diseases.
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Groundnut leaf Monitoring Remotely Using Machine Learning Techniques
Editore:
LAP LAMBERT Academic Publishing Jan 2023, 2023
ISBN 10: 6205640198
ISBN 13: 9786205640197
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of the groundnut leaf disease classifier is to identify the relevant leaf disease with better classification accuracy. Identifying and managing the plant disease of a particularly rural area and developing a farmer-friendly expert system for precession farming. Enhancing the DCNN performance by using probabilistic graphical models of the DCNN method for detecting and managing plant disease. Mapping the plant diseases of India and developing a prediction-based approach for the farmers considering different crop varieties with varying diseases. 168 pp. Englisch. Codice articolo 9786205640197
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Groundnut leaf Monitoring Remotely Using Machine Learning Techniques
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LAP Lambert Academic Publishing, 2023
ISBN 10: 6205640198
ISBN 13: 9786205640197
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The aim of the groundnut leaf disease classifier is to identify the relevant leaf disease with better classification accuracy. Identifying and managing the plant disease of a particularly rural area and developing a farmer-friendly expert system for precess. Codice articolo 821094494
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Groundnut leaf Monitoring Remotely Using Machine Learning Techniques
Editore:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6205640198
ISBN 13: 9786205640197
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Groundnut leaf Monitoring Remotely Using Machine Learning Techniques | M. P. Vaishnnave (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786205640197 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 126569923
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Groundnut leaf Monitoring Remotely Using Machine Learning Techniques
Editore:
LAP LAMBERT Academic Publishing Jan 2023, 2023
ISBN 10: 6205640198
ISBN 13: 9786205640197
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The aim of the groundnut leaf disease classifier is to identify the relevant leaf disease with better classification accuracy. Identifying and managing the plant disease of a particularly rural area and developing a farmer-friendly expert system for precession farming. Enhancing the DCNN performance by using probabilistic graphical models of the DCNN method for detecting and managing plant disease. Mapping the plant diseases of India and developing a prediction-based approach for the farmers considering different crop varieties with varying diseases.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch. Codice articolo 9786205640197
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Groundnut leaf Monitoring Remotely Using Machine Learning Techniques
Editore:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6205640198
ISBN 13: 9786205640197
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of the groundnut leaf disease classifier is to identify the relevant leaf disease with better classification accuracy. Identifying and managing the plant disease of a particularly rural area and developing a farmer-friendly expert system for precession farming. Enhancing the DCNN performance by using probabilistic graphical models of the DCNN method for detecting and managing plant disease. Mapping the plant diseases of India and developing a prediction-based approach for the farmers considering different crop varieties with varying diseases. Codice articolo 9786205640197
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