IOT Based Smart Agriculture Monitoring and Irrigation System using Esp32

MS. Disha Ved

Assistant Professor

Dept. of Electrical & Engineering

KIT College of Engineering Kolhapur, India Ved.disha@kitcoek.in

Shubham Pandurang Kaldhone                                                     Omkar Narendra Dahule

Dept. of Electrical & Engineering                                            Dept. of Electrical & Engineering KIT College of

Kolhapur, India                                                                                         Kolhapur, India

Shubhamkaldhone740@gmail.com                                            omkardahule7@gmail.com

Abhijeet Balu Waydande                                                                 Sarvesh Ashok Gatade

Dept. of Electrical & Engineering                                                   Dept. of Electrical & Engineering

  KIT College of Engineering Kolhapur, India                             KIT College of Engineering Kolhapur, India

  Abhijeetwaydande86@gmail.com                                              sarveshgatade2002@gmail.com

Vishal Suresh Pujari

Dept. of Electrical & Engineering KIT College of Engineering Kolhapur, India

Vishalpujari0502@gmail.com

Abstract: -Agriculture sector nowadays is facing several major problems such as water shortage, highly unpredictable weather conditions, and dependence on human labour for irrigation. In a lot of cases, traditional irrigation systems deliver water according to the schedule or whenever without considering the actual needs of the field. As a result, not only is water wasted but the crop yield may also be lowered. This document presents the IoT based smart agriculture monitoring and irrigation system that was built using ESP32 microcontroller. ESP32 as the main processing and communication unit controlled the water pump through a relay module and sent the live data to the cloud platform Thing Speak. The experimental results demonstrated that the newly developed system can achieve the desired result by reducing manual intervention, increasing the effectiveness of irrigation, and using water correctly. Being low-cost, capable of being scaled up, and offering reliable performance, the system is ideal for both sustainable and modern agriculture practices.

Keywords: Internet of Things, Precision Agriculture, ESP32 Microcontroller, Automated Irrigation, Soil Moisture Detection, Thing Speak Cloud.