IOT based Agriculture Monitoring System using Arduino UNO

Revathy, N.; Guhan, Thejineaswar; Nandhini, S. Aasha; Ramadevi, S.; Dhipthi, R.

doi:10.1109/iccci54379.2022.9740910

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…One of the disadvantages of the system is that it entirely automates the process of watering, and it only employs a few parameters to determine whether or not to water. To further add insult to injury, the publications do not offer an adequate explanation of the quality characteristics that were achieved as a result of the measures taken in the study [6]. This technology is described in the paper [7].…”

Section: Related Workmentioning

confidence: 99%

Enhancing Crop Water Management: A Logistic Regression Approach Integrated with IoT for Smart Irrigation

Gopathoti,

Gopatoti,

Swathi

et al. 2024

IJSMCSE

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This study explores the integration of logistic regression with Internet of Things (IoT) technology to optimize water management in agriculture. Efficient irrigation systems are vital for boosting crop yields while preserving water resources, which is becoming more important due to the growing demand for food and the challenges caused by climate change. The suggested method makes use of Internet of Things (IoT) sensors to gather weather predictions, soil moisture levels, humidity, and temperature readings in real time. In order to determine how much water crops will use, this data is utilized to train a logistic regression model. Supervised learning is made possible by generating labelled data through the analysis of expert knowledge and past irrigation practices. The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score. Once validated, the logistic regression model is deployed within the IoT system to provide real-time predictions of crop water requirements. Through automation and data-driven decision-making, farmers can optimize irrigation schedules, minimize water wastage, and enhance crop productivity. This integrated approach represents a significant step towards sustainable agriculture and resource-efficient farming practices.

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Section: Related Workmentioning

confidence: 99%

Enhancing Crop Water Management: A Logistic Regression Approach Integrated with IoT for Smart Irrigation

Gopathoti,

Gopatoti,

Swathi

et al. 2024

IJSMCSE

View full text Add to dashboard Cite

show abstract

“…To boost the output of the crops on the land, the farmer might use this proposed design to continuously monitor the crop. [9] In order to revitalize and restart faster growth in agricultural areas, there is a growing need to find a solution to the issue of monitoring and watering for long periods of time. A large-scale agricultural system necessitates a lot of upkeep, expertise, and oversight.…”

Section: Shaik Et Al In 2020mentioning

confidence: 99%

Low-cost IoT-Based Smart Notification System for Rural Agriculture

Diginsa,

Md Yusof,

Azizan

et al. 2023

OIJI

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At present, people in the countryside use a manual agricultural machine for harvesting. This contributes to global warming and agricultural safety problems as manual irrigation increases farmers' time on the farm. The use of manual machinery causes smoke during irrigation, which increases the heating of the earth's surface and thus reduces the green energy effect. So they do not spend a lot of money on buying crude oil when they use the system. On the other hand, there are bandits who come into conflict with farmers and animals that attack farmers in the bush, which makes it difficult for farmers to reach their farms. A simple but effective IoT system, as we have proposed in this study, helps to solve these problems to a large extent. In this study, we use a combination of a Raspberry Pi as the main processor and sensor modules as devices to collect agricultural data for further insights and analysis. Apart from automatic irrigation through the power-saving water pump, the developed systems have taken the initiative to reduce the time farmers have to spend on the farm and provide instant notifications to a mobile device at any time and place.

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Implementation of an IoT-Based Automated Watering System for Melon Cultivation

Jusman,

Nur Nazillah Chamim,

Zaki

et al. 2024

BIO Web Conf.

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Agriculture and plantations are vital for sustaining a significant portion of Indonesia’s population. However, the agricultural sector faces considerable challenges, particularly due to its dependence on weather conditions, leading to fluctuations in production and market volatility. Effective water management is crucial for plant growth, and the specific water requirements of various crops, including melon plants, necessitate careful irrigation. The advancement of Internet of Things (IoT) technology presents substantial benefits for agriculture by optimizing plant growth, deterring pests, and enhancing irrigation systems. This research focuses on developing an automatic irrigation system specifically for melon farming, utilizing IoT technology. A capillary irrigation system controlled by water level sensors is implemented to ensure precise water management, reducing waste while improving plant health and yield. By enhancing agricultural productivity and promoting water sustainability, this system offers an efficient and reliable solution for automating irrigation, making it a suitable option for both household gardens and small-scale melon farms. The success of similar agricultural technologies, such as hydroponics and aquaponics, as demonstrated by Studio Tani Kalisuci in Gunung Kidul, highlights the potential of innovative farming practices in overcoming challenging environmental conditions.

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IOT based Agriculture Monitoring System using Arduino UNO

Cited by 5 publications

References 5 publications

Enhancing Crop Water Management: A Logistic Regression Approach Integrated with IoT for Smart Irrigation

Enhancing Crop Water Management: A Logistic Regression Approach Integrated with IoT for Smart Irrigation

Low-cost IoT-Based Smart Notification System for Rural Agriculture

Implementation of an IoT-Based Automated Watering System for Melon Cultivation

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