Raspberry Pi Pico Based IoT Green House Monitoring and Controlling System

The Raspberry Pi Pico Based IoT Greenhouse Monitoring and Controlling System is designed to automate and optimize environmental conditions for plant growth using smart technology. The system employs multiple sensors such as temperature, humidity, soil moisture, and light intensity sensors to continuously monitor greenhouse parameters. These real-time data are processed by the Raspberry Pi Pico microcontroller, which controls various loads like fans, water pumps, and lights to maintain ideal growing conditions. The IoT integration enables remote monitoring and control via a cloud platform or mobile application, providing users with real-time alerts and data visualization. This approach minimizes manual intervention, enhances energy efficiency, and ensures consistent crop yield. Overall, the project demonstrates an affordable and efficient solution for modern precision agriculture through sensor-based automation and IoT connectivity

Authors

Institutions

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-10-28
DOI
https://doi.org/10.48175/ijarsct-29363
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Raspberry Pi Pico Based IoT Green House Monitoring and Controlling System

Prof.Mrs. Prachi Rane, Mr. Aditya Mansute, Mr. Swapnil Thakare, Mr. Pratik Thakare et al.
International Journal of Advanced Research in Science Communication and Technology
Smart Agriculture and AI
article

Raspberry Pi Pico Based IoT Green House Monitoring and Controlling System

Prof.Mrs. Prachi Rane, Mr. Aditya Mansute, Mr. Swapnil Thakare, Mr. Pratik Thakare, Mr. Ganesh Gorale, Mr. Sujit Kolte
article en

Abstract

The Raspberry Pi Pico Based IoT Greenhouse Monitoring and Controlling System is designed to automate and optimize environmental conditions for plant growth using smart technology. The system employs multiple sensors such as temperature, humidity, soil moisture, and light intensity sensors to continuously monitor greenhouse parameters. These real-time data are processed by the Raspberry Pi Pico microcontroller, which controls various loads like fans, water pumps, and lights to maintain ideal growing conditions. The IoT integration enables remote monitoring and control via a cloud platform or mobile application, providing users with real-time alerts and data visualization. This approach minimizes manual intervention, enhances energy efficiency, and ensures consistent crop yield. Overall, the project demonstrates an affordable and efficient solution for modern precision agriculture through sensor-based automation and IoT connectivity

International Journal of Advanced Research in Science Communication and Technology
Government Medical College (IN)
Openalex Percentile: Top 77%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Raspberry Pi Pico Based IoT Green House Monitoring and Controlling System — Prof.Mrs. Prachi Rane, Mr. Aditya Mansute, et al. · International Journal of Advanced Research in Science Communication and Technology (2025) | TGRS Research Map | TGRS