Rhithuja Suresh
Afwan Sha J
Vishnu Suresh Perumbavoor (VSP)
Akhiyaar Muhammed
Shinas Shanavas
THis is Vaiga Agrihack winning project
Read more here https://twitter.com/vspeeeeee/status/1639454744493080578?t=Z8leUs0BCQMJ1ZqP94ji4g&s=19
Project that won us Vaiga AgriHack 2023 & startup idea presentation at Palakkad.
• LoRa sensor (IOT device that use LoRa for communication)
• LoRa (physical layer technology for long range low power communication)
• LoRaWAN (networking protocol)
• NPK Sensor (to detect nitrogen, phosphorus & potassium content in the soil)
• DTH11 sensor (Digital Temperature & Humidity sensor)
• Moisture sensor
• Passive InfraRed radiation sensor
• TCS3200 color recognition sensor
ATmega328 (created by Atmel in megaAVR family with modified harvard architecture & 8 bit RISC processor core)
This projects eXtreme Gradient Boosting (XGB) algorithm for prediction and detection
XGB showed the highest accuracy of 99% in regression modeling
Input data
-
Prediction
• Nitrogen
• Phosphorus
• Potassium (NPK Sensors)
• Humidity
• Temperature (Digital Temperature & Humidity Sensors)
• Moisture (Moisture sensor) -
Detection
• Infrared radiation value (Passive InfraRed sensor)
• hacadecimal value of paddy color (TCS3200)
(BPH generate a certain infrared radiation wavelength & changes paddy color to orange)
• Scikit-learn (ML library for prediction modling)
• eXtreme Gradient Boosting (ML regression algorithm)
• Stremlit (frontend)
• Pywhatkit (automated whatsapp message to farmers)
• Pandas (python library to work with spreadsheet)
• AWS (Cloud)