Abstract: India is the second largest producer of rice, wheat, cotton, sugarcane, fruits, vegetables and tea. In agriculture field, crop dieses effects a lot. In such scenario pest prediction & controls becomes important. By using Arduino Mega with DTH-11 sensor, humidity, moisture and temperature sensor and a machine learning algorithm, system will detects the dieses by detecting the variation in humidity, temperature and moisture. Pest will be predicted and displayed accordingly. System will work in a real time scenario i.e. system will keeps a track since crop sowed and monitors the crop’s parameters like temperature, moisture and humidity with the help of RTC(Real Time Clock) which will be in connection with Arduino Mega 2560.

Keywords: Sensors, ESP32, wireless monitoring, Cloud, Mobile application.


Downloads: PDF | DOI: 10.17148/IARJSET.2022.9120

How to Cite:

[1] Axay Patoliya, Dip Thummar, M.D.Khediya, "Real Time Pest Prediction and Pest Control for Crops in Agriculture based on Embedded System," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: IARJSET.2022.9120

Open chat