DESIGN AND DEVELOPMENT OF AUTOMATIC SEEDING VEHICLE IN AGRICULTURAL FIELD (ASVS)
An Automated Seeding vehicle system is a short name for ASVS. This system uses small vehicles which are can move by themselves without a driver. The vehicles follow fixed paths on the ground. They run on internal batteries. These batteries can used for last for many hours before they need charging again. A line follower is a machine that can follow a path easily. Sometimes the path is a visible black line on a white floor or a white line on a black floor. Sometimes the path is invisible like a magnetic field in the ground. The machine senses the line and steers itself to stay on the correct path. It keeps correcting its wrong turns by using a feedback loop. This creates a very simple and useful closed loop system. The sensors used for the line follower are Reflective Object Sensors. In the present paper the design and development of Line Follower for automatic seeding using atmel micro controller has been taken up. The line follower has sensors installed underneath the front part of the body, and two motors drive wheels moving forward. A circuit inside takes input signal from sensors and controls the velocity of wheels’ rotation. This line used what is called the “differential drive” steering method, which use two independent motor mounted in fixed positions on the left and right side of robot’s chassis. Features like Obstacle avoidance and Loading and unloading mechanism are incorporated to the line follower. A Line Follower ASV is appropriate where different seeds have to seed with uniform distance and with definite depth there will be also dig maker which make the dig on predefined depth by the user depends on the seed. KeywordsLine follower, ASV, Sensors, Microcontroller, differential drive, AUTOMATIC SEEDING VEHICLE, Reflective Object Sensors
Authors
- Santhosh Marsanalli
Publication Details
- Journal
- Figshare
- Published
- 2026-10-27
- DOI
- https://doi.org/10.6084/m9.figshare.34805919
- Primary Topic
- Smart Agriculture and AI
- Type
- preprint