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Smart Agriculture Using Evana Sensor and Decision Tree Algorithm
¹ Department of Computer Science. Sri Kaliswari College (Autonomous), Sivakasi, Tamilnadu, India. ² Assistant Professor, Department of Computer Science. Sri Kaliswari College (Autonomous), Sivakasi, Tamilnadu, India.
Published Online: May-June 2022
Pages: 215-216
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Abstract
View PDFAbstract: Checking of ecological factors is vital throughout the most recent couple of many years. Specifically observing agrarian conditions for different factors like temperature, dampness and pH esteem alongside different components can be of more importance. A traditional approach to measure these factors in an agricultural environment meant individuals are taking measurements manually and checking the mat various times. Soil investigation is the significant job for ranchers to develop and deliver to the legitimate harvest. In this paper the soil condition and nutrients level in soil are analyzed by EVANA Sensor. By doing so the decision tree algorithm is predict the nutrient level, crop grown and accuracy level.
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