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.
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Dr. 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 Department of CSE at Nadimpalli Satyanaryana Raju Institute of Technology, Sontyam, Vishakapatnam.
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786202918381
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786202918381
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Kartoniert / Broschiert. Zustand: 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. Bestandsnummer des Verkäufers 409977006
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786202918381
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 119170225
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