Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{205841,
author = {Garule Pratiksha and Trupti Bhogawade and Gayatri sonawane and Dr.Swati G Gawale},
title = {Smart Seed Sowing Robot},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {1},
pages = {8002-8011},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=205841},
abstract = {The rapid advancement of automation and robotics has significantly influenced modern agricultural practices, particularly in the domain of seed sowing. Traditional sowing methods are highly labor-intensive, time-consuming, and often result in non-uniform seed placement, which negatively impacts crop yield and resource utilization. To address these challenges, researchers have increasingly focused on the development of automated and smart seed sowing robots that enhance precision, efficiency, and operational sustainability. This review presents a comprehensive analysis of recent developments in seed sowing robotic systems, emphasizing design methodologies, control strategies, mechanical mechanisms, and integration with emerging technologies such as IoT, wireless communication, and intelligent control systems. Various robot architectures ranging from manually controlled and semi-autonomous systems to fully autonomous platforms are critically examined. Additionally, energy-efficient designs, including solar-powered and optimized motor control systems, are discussed in the context of sustainable agriculture. The review also highlights real-world performance evaluations, economic feasibility, and environmental benefits reported in recent studies. Through a comparative analysis of existing literature, key re-search gaps related to adaptability, autonomy, precision, and cost-effectiveness are identified. Finally, future research directions are outlined to guide the development of scalable, farmer-friendly, and intelligent seed sowing solutions that support the transition toward precision and smart agriculture.},
keywords = {Seed sowing robot, Agricultural robotics, Precision agriculture, Automation in farming, Internet of Things (IoT), Smart agriculture},
month = {June},
}
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