Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202918381 ISBN 13: 9786202918381
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 65,72
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202918381 ISBN 13: 9786202918381
Librería: preigu, Osnabrück, Alemania
EUR 35,60
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Rice Plant Diseases Detection Using IoT & Machine Learning | Machine Learning and IoT | Chalumuru Suresh (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202918381 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2020, 2020
ISBN 10: 6202918381 ISBN 13: 9786202918381
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 39,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most of the people in India are dependent on agriculture. The growth of crops mainly relies upon climatic conditions, water quality, and soil moisture. In recent years, the crop yield has been decreased due to the occurrence of diseases because of variations in the climatic conditions. The proposed system uses the Internet of Things and machine learning techniques to predict plant disease. Climate and water data is obtained with the help of sensors and is sent to the ThingSpeak cloud and this data is extracted and utilized for predicting the plant disease. 80 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202918381 ISBN 13: 9786202918381
Librería: Majestic Books, Hounslow, Reino Unido
EUR 64,63
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202918381 ISBN 13: 9786202918381
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 64,70
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202918381 ISBN 13: 9786202918381
Librería: moluna, Greven, Alemania
EUR 34,25
Cantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Suresh ChalumuruDr. Chalumuru Suresh, currently working as Assistant Professor in the Department of CSE at VNR Vignana Jyothi Institute of Engineering and Technology. Dr. Satish Thatavarthi, currently working as a Professor in the.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2020, 2020
ISBN 10: 6202918381 ISBN 13: 9786202918381
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 39,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Most of the people in India are dependent on agriculture. The growth of crops mainly relies upon climatic conditions, water quality, and soil moisture. In recent years, the crop yield has been decreased due to the occurrence of diseases because of variations in the climatic conditions. The proposed system uses the Internet of Things and machine learning techniques to predict plant disease. Climate and water data is obtained with the help of sensors and is sent to the ThingSpeak cloud and this data is extracted and utilized for predicting the plant disease.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202918381 ISBN 13: 9786202918381
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 40,89
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most of the people in India are dependent on agriculture. The growth of crops mainly relies upon climatic conditions, water quality, and soil moisture. In recent years, the crop yield has been decreased due to the occurrence of diseases because of variations in the climatic conditions. The proposed system uses the Internet of Things and machine learning techniques to predict plant disease. Climate and water data is obtained with the help of sensors and is sent to the ThingSpeak cloud and this data is extracted and utilized for predicting the plant disease.