Precision Agriculture Monitoring System

ABSTRACT: Smart agriculture systems leverage advanced versions such as the Internet of Things, sensor networks, and data visualisation methods to optimize farming practices, improve crop yield, and reduce resource consumption. These systems integrate various sensors to monitor environmental parameters such as soil moisture, temperature, humidity, and light intensity. The data which is collected data is analyzed in real-time to provide actionable insights for farmers, enabling precision agriculture. Automated irrigation systems can adjust watering schedules based on soil moisture levels, ensuring optimal water usage. Additionally, smart agriculture systems can include pest detection and weather forecasting capabilities, allowing for timely interventions and better risk management. By utilizing these technologies, farmers can enhance productivity, minimize waste, and promote sustainable farming practices, ultimately contributing to food security and environmental conservation. The paper's feature involves creating a system that can monitor temperature, humidity, moisture, and animal movement in agricultural fields using Arduino sensors. It will send SMS and app notifications to the farmer's smartphone in case of any issues, using Wi-Fi/3G/4G.

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Publication Details

Journal
Biosciences Biotechnology Research Asia
Published
2024-12-20
DOI
https://doi.org/10.13005/bbra/3324
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.20
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article

Precision Agriculture Monitoring System

K. V. Suresh Babu, P. Narayan Ganesh, Kuriti Jogi Naidu, Chinthala Roshitha Charan Sai et al.
2 citations
Biosciences Biotechnology Research Asia
Smart Agriculture and AI
1.20
article

Precision Agriculture Monitoring System

K. V. Suresh Babu, P. Narayan Ganesh, Kuriti Jogi Naidu, Chinthala Roshitha Charan Sai, Tenkani Gowtham Sai, Nadupuru Somendhra Naidu, Chargundla Praneeth, Gudimalla Sumanth
article en
2 citations

Abstract

ABSTRACT: Smart agriculture systems leverage advanced versions such as the Internet of Things, sensor networks, and data visualisation methods to optimize farming practices, improve crop yield, and reduce resource consumption. These systems integrate various sensors to monitor environmental parameters such as soil moisture, temperature, humidity, and light intensity. The data which is collected data is analyzed in real-time to provide actionable insights for farmers, enabling precision agriculture. Automated irrigation systems can adjust watering schedules based on soil moisture levels, ensuring optimal water usage. Additionally, smart agriculture systems can include pest detection and weather forecasting capabilities, allowing for timely interventions and better risk management. By utilizing these technologies, farmers can enhance productivity, minimize waste, and promote sustainable farming practices, ultimately contributing to food security and environmental conservation. The paper's feature involves creating a system that can monitor temperature, humidity, moisture, and animal movement in agricultural fields using Arduino sensors. It will send SMS and app notifications to the farmer's smartphone in case of any issues, using Wi-Fi/3G/4G.

Biosciences Biotechnology Research AsiaVol. 21(4)
Centurion University of Technology and Management (IN)
Zero hunger
Openalex Percentile: Top 15%
Smart Agriculture and AI
1.20
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