Farming Robot: An Integrated Approach to Seed Sowing, Pesticide Application and Crop Cutting
Nikhilesh Chauhan , Kunal Nimkar , Dnyaneshwari Pote , Sandip Pawar , Nishant Kulkarni
Agriculture, autonomous, grass cutting, pesticide spraying, robot, seed sowing, solar powered
More than a significant portion of the global population opts for agriculture as their primary occupation.The primary goal of the project is to develop a versatile agricultural vehicle capable of autonomous operation. This innovation aims to reduce the labour burden on farmers while enhancing the efficiency and precision of agricultural tasks. To achieve this, implement an Internet of Things (IoT)-based control and monitoring system, enabling remote field status tracking and management from any location with an internet connection. The project encompasses two distinct control systems: field control and robot control. In field control, here employ sensors to monitor soil moisture, temperature, and humidity. Based on sensor data, appropriate actions are taken, and farmers receive real-time updates through a dedicated mobile app. To address the issues of crop theft and animal intrusions, utilize PIR sensors for intruder detection in the agricultural field, complemented by image processing techniques.Agricultural fields are susceptible to natural fires, often sparked by sunlight or lightning strikes. have integrated a fire suppression system to extinguish such fires in their early stages. The robot control system is equipped with a camera to provide live visual feedback from the field, allowing for comprehensive monitoring during its operations.The system offers two modes: automated mode, where the robot assumes complete control of the farm, and manual mode, enabling farmer intervention. The robot handles tasks such as pesticide and weedicide application, while its battery is rechargeable through a solar panel mounted on the vehicle. This sustainable energy source reduces the need for frequent recharging and aligns with eco-friendly practices.
Article Details
Unique Paper ID: 164375

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 1767 - 1775
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