Authors : M G Srinivasa; Jahnavi R; Sadhana T; Meghanalakshmiraj KN; Shamitha NM

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/wcdm32kw

DOI : https://doi.org/10.38124/ijisrt/25may1718

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This project focuses on the development of an semi-automated pesticide spraying robot designed to assist farmers efficiently managing their crops while minimizing human labor and exposure to harmful chemicals. The system is powered by a NodeMCU microcontroller, which serves as the central processing unit, facilitating both autonomous and remote control via the Blynk IoT platform. The robot is equipped with L298N motor drivers that regulate the movement of its wheels, allowing smooth navigation across agricultural fields. A relay module is integrated to control the pesticide spraying system, which consists of a DC motor-driven water pump that ensures precise and uniform pesticide distribution over crops. The inclusion of a soil moisture sensor and a temperature and humidity sensor allows continuous monitoring of environmental conditions, providing farmers with real-time insights into field conditions. These sensor readings are transmitted to the Blynk server, enabling remote monitoring and control through a mobile application, ensuring timely interventions for crop health management. By reducing manual labor and optimizing pesticide usage, the system enhances agricultural productivity while minimizing excessive chemical application, which can be harmful to both crops and the environment. In our project, we have developed a fully functional prototype that integrates all the aforementioned components into a compact, mobile robotic platform. The NodeMCU microcontroller has been programmed to operate semi-autonomously based on sensor inputs, while also allowing manual override through the Blynk app for user-defined control. The L298N motor driver enables differential steering, granting the robot agility in navigating through various field terrains. The DC pump, actuated via the relay module, sprays pesticide only when required, based on preset moisture levels and environmental conditions, thereby conserving resources and reducing chemical runoff. All sensor data—including soil moisture, ambient temperature, and humidity—are visualized in real- time on the Blynk dashboard, enabling informed decision-making from remote locations.

Keywords : Semi-Automated Pesticide Spraying; Nodemcu; IOT Agriculture; Soil Moisture Sensing; Temperature and Humidity Sensing; Blynk Control; Pesticide Management.

References :

1. Aishwarya. B. V, Archana G., C. Umayal, "Agriculture Robotic Vehicle Based Pesticide Sprayer," 2015 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development (TIAR 2015).
2. Pvr Chaitanya, Dileep Kotte, A. Srinath, K. B. Kalyan, "Development of a Smart Pesticide Spraying Robot," International Journal of Recent Technology and Engineering (IJRTE), Volume 8, Issue 5, January 2020, ISSN: 2277-3878.
3. Ege Ozgul, Ugur Celik, "Design and Implementation of Semi-Autonomous Anti- Pesticide Spraying and Insect Repellent Mobile Robot for Agricultural Applications," 2018 5th International Conference on Electrical and Electronics Engineering.
4. Shubhangi B. Londhe, K. Sujata, “Remotely Operated Pesticide Sprayer Robot in Agricultural Field,” International Journal of Computer Applications (0975 – 8887), Vol 167, No. 3, June 2017.
5.   Kazi Khalid Abdul Karim, Mankari Hemant Tanaji, Bodhgire Yogesh Uttamrao, Md. Momin, Md. Arbi, Md. Husain, “Agriculture Robotic Vehicles based Pesticide Sprayer,” IJSRD - International Journal for Scientific Research and Development, Vol. 6, Issue 03, 2018.