Advanced IoT Enabled Irrigation and Seed Sowing System with Dual Axis Tracking

By focusing on technology-driven solutions for agriculture, particularly in seed sowing and water management, addressing crucial challenges is the research focus. A sophisticated agricultural system that combines multiple technologies to optimize farming efficiency is being proposed along with usage of Solar energy. Automating irrigation and utilizing renewable energy sources will not only boost agricultural productivity but also help in minimizing environmental footprints. The integration of an automated seed sowing model is especially intriguing. Automating the planting process can indeed enhance precision and speed, while reducing labour costs. The approach and the model proposed will not only streamline farm operations but also contribute to improved efficiency, water conservation, and energy savings. Overall, the work carried out offers a comprehensive solution for modern farming practices, encompassing automated irrigation, seed sowing, and sustainability measures.

Authors

Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/akgec62572.2024.10868025
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Advanced IoT Enabled Irrigation and Seed Sowing System with Dual Axis Tracking

Sunil Arora, ­ Kunal, Rajnandani Yadav
Smart Agriculture and AI
article

Advanced IoT Enabled Irrigation and Seed Sowing System with Dual Axis Tracking

Sunil Arora, ­ Kunal, Rajnandani Yadav
article en

Abstract

By focusing on technology-driven solutions for agriculture, particularly in seed sowing and water management, addressing crucial challenges is the research focus. A sophisticated agricultural system that combines multiple technologies to optimize farming efficiency is being proposed along with usage of Solar energy. Automating irrigation and utilizing renewable energy sources will not only boost agricultural productivity but also help in minimizing environmental footprints. The integration of an automated seed sowing model is especially intriguing. Automating the planting process can indeed enhance precision and speed, while reducing labour costs. The approach and the model proposed will not only streamline farm operations but also contribute to improved efficiency, water conservation, and energy savings. Overall, the work carried out offers a comprehensive solution for modern farming practices, encompassing automated irrigation, seed sowing, and sustainability measures.

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