Smart Agriculture: IoT-Enabled Precision Environmental Monitoring and Management

This research work delves into the contemporary challenges faced by agriculture and proposing solutions through automation. The development of an Internet of Things (IoT) system adept at accurately sensing and monitoring environmental conditions is facilitated by the integration of advanced sensors, Node MCU, Blynk, and other pertinent technologies. The methodology of the research also emphasizes on the utilization of a diverse array of sensors, including the NPK sensor, to precisely ascertain Nitrogen, Phosphorous, and Potassium levels crucial for optimizing crop efficiency. The incorporation of Node MCU ESP8266 facilitates signal acquisition and management, while the Blynk program enables remote access to real-time sensor data and facilitates the operation of a responsive water pump for irrigation optimization. This prototype demonstrates a significant enhancement in farming precision, productivity, and efficiency. By leveraging real-time sensor data and remote-control capabilities through Blynk, the system offers operational flexibility, enabling proactive decision-making in agricultural management. This forward-thinking and user-friendly approach to agricultural planning heralds a promising future for precision farming methodologies.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/iceect61758.2024.10739299
Citations
4
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
2.40
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article

Smart Agriculture: IoT-Enabled Precision Environmental Monitoring and Management

Prashant, Nikita Singh, Manisha Chaudhary, Ujjawal Saxena et al.
4 citations
Smart Agriculture and AI
2.40
article

Smart Agriculture: IoT-Enabled Precision Environmental Monitoring and Management

Prashant, Nikita Singh, Manisha Chaudhary, Ujjawal Saxena, Pravartan
article en
4 citations

Abstract

This research work delves into the contemporary challenges faced by agriculture and proposing solutions through automation. The development of an Internet of Things (IoT) system adept at accurately sensing and monitoring environmental conditions is facilitated by the integration of advanced sensors, Node MCU, Blynk, and other pertinent technologies. The methodology of the research also emphasizes on the utilization of a diverse array of sensors, including the NPK sensor, to precisely ascertain Nitrogen, Phosphorous, and Potassium levels crucial for optimizing crop efficiency. The incorporation of Node MCU ESP8266 facilitates signal acquisition and management, while the Blynk program enables remote access to real-time sensor data and facilitates the operation of a responsive water pump for irrigation optimization. This prototype demonstrates a significant enhancement in farming precision, productivity, and efficiency. By leveraging real-time sensor data and remote-control capabilities through Blynk, the system offers operational flexibility, enabling proactive decision-making in agricultural management. This forward-thinking and user-friendly approach to agricultural planning heralds a promising future for precision farming methodologies.

Zero hunger
Openalex Percentile: Top 10%
Smart Agriculture and AI
2.40
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Smart Agriculture: IoT-Enabled Precision Environmental Monitoring and Management — Prashant, Nikita Singh, et al. · (2024) | TGRS Research Map | TGRS