Iot Agricultural Plantation And Monitoring System

An innovative method for updating conventional farming methods, resolving inefficiencies, and maximizing resource use is the Internet of Things-Based Agricultural Plantation, Monitoring, and Planting System. Manual irrigation, planting, and environmental monitoring are examples of traditional agricultural practices that are time-consuming, resource-intensive, and frequently produce variable outcomes. Suboptimal crop yields are the result of surface irrigation techniques' substantial water waste, manual planting's lack of consistency, and farmers' heavy reliance on experience to gauge soil and environmental conditions. In the conventional system, more than 60–70% of agricultural tasks, such as distributing water and planting seeds, are done by hand. Especially on large farms, these tasks take a lot of time and constant physical exertion. Furthermore, runoff, evaporation, and overwatering cause traditional irrigation techniques to squander between 30 and 50 percent of the water they use.By automating planting, irrigation, and environmental monitoring, the suggested method minimizes the need for human interaction. Better crop density and yield are guaranteed by the automated planting method, which also guarantees uniform seed dispersion and cuts planting time by 40–50%. It guarantees accurate water distribution by automating irrigation, avoiding waterlogging and soil deterioration. Better planning is also made possible by data-driven farming, which lessens the reliance on guessing that characterizes conventional systems. The system is environmentally favourable due to the incorporation of renewable energy sources, such solar panels, which further aligns it with contemporary sustainability ideals. To sum up, compared to conventional farming methods, the IoT-Based Agricultural Plantation, Monitoring, and Planting System provides a revolutionary advancement. It boosts planting efficiency by 40 to 50 percent, saves water by 50 percent, and decreases manual labor by up to 70 percent. By bridging the gap between traditional methods and modern technology, this system empowers farmers to achieve higher yields and ensure environmental sustainability, ultimately contributing to global food security.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-02
DOI
https://doi.org/10.5281/zenodo.15123289
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Iot Agricultural Plantation And Monitoring System

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Iot Agricultural Plantation And Monitoring System

article en

Abstract

An innovative method for updating conventional farming methods, resolving inefficiencies, and maximizing resource use is the Internet of Things-Based Agricultural Plantation, Monitoring, and Planting System. Manual irrigation, planting, and environmental monitoring are examples of traditional agricultural practices that are time-consuming, resource-intensive, and frequently produce variable outcomes. Suboptimal crop yields are the result of surface irrigation techniques' substantial water waste, manual planting's lack of consistency, and farmers' heavy reliance on experience to gauge soil and environmental conditions. In the conventional system, more than 60–70% of agricultural tasks, such as distributing water and planting seeds, are done by hand. Especially on large farms, these tasks take a lot of time and constant physical exertion. Furthermore, runoff, evaporation, and overwatering cause traditional irrigation techniques to squander between 30 and 50 percent of the water they use.By automating planting, irrigation, and environmental monitoring, the suggested method minimizes the need for human interaction. Better crop density and yield are guaranteed by the automated planting method, which also guarantees uniform seed dispersion and cuts planting time by 40–50%. It guarantees accurate water distribution by automating irrigation, avoiding waterlogging and soil deterioration. Better planning is also made possible by data-driven farming, which lessens the reliance on guessing that characterizes conventional systems. The system is environmentally favourable due to the incorporation of renewable energy sources, such solar panels, which further aligns it with contemporary sustainability ideals. To sum up, compared to conventional farming methods, the IoT-Based Agricultural Plantation, Monitoring, and Planting System provides a revolutionary advancement. It boosts planting efficiency by 40 to 50 percent, saves water by 50 percent, and decreases manual labor by up to 70 percent. By bridging the gap between traditional methods and modern technology, this system empowers farmers to achieve higher yields and ensure environmental sustainability, ultimately contributing to global food security.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 67%
Smart Agriculture and AI
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Iot Agricultural Plantation And Monitoring System · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS