Enhancing agricultural efficiency in India with IoT based smart boats

Around 70% of the people in India depend heavily on agriculture for their survival.However, facts show that it only generates 17% of the economy and creates 58% of jobs, which is an extremely significant percentage, thus it is important to support this sector.There are many technologies available on the market for agricultural use, but the majority of them are expensive or require an expert human operation, are poor, and some of them have negative health effects for a farmer.So, to address these various problems, we created a smart boat that will sail the water.This smart boat was created utilizing less expensive components, and a smartphone is used to control it.We collected some data to determine efficiency in terms of time and plant coverage of the field to determine how this smart boat is more productive than humans and robots can be.This smart boat is tested on a surface irrigation field for that we take some seeds and pesticides to test this smart boat.Consequently, from the result, we observe that in terms of pesticide spraying and seed sowing the smart boat is highly productive as compared to humans and robots.Thus, creating smart farming with several benefits is the idea behind this endeavor.Effective pesticide use, effective seed use, and minimal human labor are all features of smart farming.In the future, we may also provide a fresh function like fertilizer spraying.Thus, we learn that this model has a variety of uses.So, we're confident that this idea will be pitched to the Indian market well.

Authors

Publication Details

Journal
Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
Published
2025-01-01
DOI
https://doi.org/10.14744/sigma.2025.00045
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
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article

Enhancing agricultural efficiency in India with IoT based smart boats

Subhash GADHAVE
Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
Internet of Things and AI
article

Enhancing agricultural efficiency in India with IoT based smart boats

Subhash GADHAVE
article en

Abstract

Around 70% of the people in India depend heavily on agriculture for their survival.However, facts show that it only generates 17% of the economy and creates 58% of jobs, which is an extremely significant percentage, thus it is important to support this sector.There are many technologies available on the market for agricultural use, but the majority of them are expensive or require an expert human operation, are poor, and some of them have negative health effects for a farmer.So, to address these various problems, we created a smart boat that will sail the water.This smart boat was created utilizing less expensive components, and a smartphone is used to control it.We collected some data to determine efficiency in terms of time and plant coverage of the field to determine how this smart boat is more productive than humans and robots can be.This smart boat is tested on a surface irrigation field for that we take some seeds and pesticides to test this smart boat.Consequently, from the result, we observe that in terms of pesticide spraying and seed sowing the smart boat is highly productive as compared to humans and robots.Thus, creating smart farming with several benefits is the idea behind this endeavor.Effective pesticide use, effective seed use, and minimal human labor are all features of smart farming.In the future, we may also provide a fresh function like fertilizer spraying.Thus, we learn that this model has a variety of uses.So, we're confident that this idea will be pitched to the Indian market well.

Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
Zero hunger
Openalex Percentile: Top 90%
Internet of Things and AI
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Enhancing agricultural efficiency in India with IoT based smart boats — Subhash GADHAVE · Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi (2025) | TGRS Research Map | TGRS