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- Vol. 3 Issue 3
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Smart Agriculture Using Evana Sensor and Random Forest Algorithm
Authors
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.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 3 (2022)
- Published Online
- May-June 2022
- Pages
- 204-206
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFAbstract: Checking of ecological components 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 random forest algorithm is predict the nutrient level and crop grown.
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