Design and Development of an Automated Seed Metering Bot for Precision Agriculture

Precision agriculture aims to increase agricultural productivity while reducing resource use and environmental impact. A critical component of this approach is seed metering—the accurate placement of seeds to optimize crop growth and uniformity. Traditional seed metering methods are often labor-intensive and imprecise, leading to inconsistent seed spacing, resource waste, and potential yield reduction. The Automatic Seed Metering Bot addresses these challenges by providing a fully autonomous solution that integrates advanced sensors, GPS, and real-time data processing to ensure precise seed placement across variable field conditions. This bot is designed to adapt to different terrains, soil types, and planting requirements, optimizing seed distribution to enhance crop uniformity and yield potential. Capable of self-adjustment based on real-time field conditions, it requires minimal human intervention, reducing labor costs and allowing for more efficient large- scale farming operations. By integrating with other precision farming technologies, such as aerial drones and soil analysis systems, the bot enables data-driven decision-making and improves planting accuracy. The projected design helps to improve productivity benefits, the Automatic Seed Metering Bot supports sustainable farming practices by minimizing seed waste and optimizing resource use, thus contributing to both economic and environmental goals in agriculture

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-06-09
DOI
https://doi.org/10.22214/ijraset.2025.72257
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Development of an Automated Seed Metering Bot for Precision Agriculture

Mr. Vipul P Rathod
International Journal for Research in Applied Science and Engineering Technology
Smart Agriculture and AI
article

Design and Development of an Automated Seed Metering Bot for Precision Agriculture

Mr. Vipul P Rathod
article en

Abstract

Precision agriculture aims to increase agricultural productivity while reducing resource use and environmental impact. A critical component of this approach is seed metering—the accurate placement of seeds to optimize crop growth and uniformity. Traditional seed metering methods are often labor-intensive and imprecise, leading to inconsistent seed spacing, resource waste, and potential yield reduction. The Automatic Seed Metering Bot addresses these challenges by providing a fully autonomous solution that integrates advanced sensors, GPS, and real-time data processing to ensure precise seed placement across variable field conditions. This bot is designed to adapt to different terrains, soil types, and planting requirements, optimizing seed distribution to enhance crop uniformity and yield potential. Capable of self-adjustment based on real-time field conditions, it requires minimal human intervention, reducing labor costs and allowing for more efficient large- scale farming operations. By integrating with other precision farming technologies, such as aerial drones and soil analysis systems, the bot enables data-driven decision-making and improves planting accuracy. The projected design helps to improve productivity benefits, the Automatic Seed Metering Bot supports sustainable farming practices by minimizing seed waste and optimizing resource use, thus contributing to both economic and environmental goals in agriculture

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(6)
Zero hunger
Openalex Percentile: Top 91%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.