Agricultural Pesticide Spraying Robot

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.

Authors

Publication Details

Published
2025-05-31
DOI
https://doi.org/10.38124/ijisrt/25may1718
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Agricultural Pesticide Spraying Robot

T Sadhana, M G Srinivasa, R Jahnavi, Meghanalakshmiraj KN et al.
Smart Agriculture and AI
article

Agricultural Pesticide Spraying Robot

T Sadhana, M G Srinivasa, R Jahnavi, Meghanalakshmiraj KN, Shamitha NM
article en

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.

Openalex Percentile: Top 91%
Smart Agriculture and AI
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