Rice Plant Diseases Detection Using IoT & Machine Learning
Machine Learning and IoT
Published on 30. September 2020
Book
Paperback/Softback
80 pages
978-620-2-91838-1 (ISBN)
Description
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.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 6 mm
Weight
137 gr
ISBN-13
978-620-2-91838-1 (9786202918381)
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Schweitzer Classification
Persons
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.