Integrated Multi-Parameter Soil Sensor Technology for Continuous Real-Time Plant Health Analysis

Due to increasing importance of precision agriculture and sustainable development, the advancement of agricultural technologies has gained much importance. One of the biggest achievements in smart agriculture is efficient and accurate monitoring of soil conditions as this directly affect the crop growth and yield. This paper presents an experimental setup of data collection and real-time monitoring of the plants using a seven-in-one soil sensor. This sensor uses the Internet of Things based technology for monitoring seven soil parameters - moisture, temperature, electrical-conductivity, soil pH, nitrogen, phosphorus, and potassium levels in a single sensor device. Such an integrated sensor system has provided significant advantage over the traditional methods using multiple individual sensors to monitor the soil health. Moreover, it enhances the precision of soil parameters monitoring by ensuring that all measurements are taken from same location unlike using different soil sensors for measuring different soil parameters. The data collected from the sensor is transmitted to a cloud platform in wireless mode where it can be further analyzed. This will help farmers to monitor their crop from any remote location and make wise decisions. Trials on different real home plants were done to evaluate the performance and reliability of the system. The results proved the system’s ability to provide accurate and timely data regarding soil health, leading to better and smart agricultural practices.

Authors

Institutions

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/ariia63345.2024.11051673
Citations
1
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated Multi-Parameter Soil Sensor Technology for Continuous Real-Time Plant Health Analysis

Nishu Gupta, Purnima Awasthi, Sumita Mishra
1 citations
Water Quality Monitoring and Analysis
0.29
article

Integrated Multi-Parameter Soil Sensor Technology for Continuous Real-Time Plant Health Analysis

Nishu Gupta, Purnima Awasthi, Sumita Mishra
article en
1 citations

Abstract

Due to increasing importance of precision agriculture and sustainable development, the advancement of agricultural technologies has gained much importance. One of the biggest achievements in smart agriculture is efficient and accurate monitoring of soil conditions as this directly affect the crop growth and yield. This paper presents an experimental setup of data collection and real-time monitoring of the plants using a seven-in-one soil sensor. This sensor uses the Internet of Things based technology for monitoring seven soil parameters - moisture, temperature, electrical-conductivity, soil pH, nitrogen, phosphorus, and potassium levels in a single sensor device. Such an integrated sensor system has provided significant advantage over the traditional methods using multiple individual sensors to monitor the soil health. Moreover, it enhances the precision of soil parameters monitoring by ensuring that all measurements are taken from same location unlike using different soil sensors for measuring different soil parameters. The data collected from the sensor is transmitted to a cloud platform in wireless mode where it can be further analyzed. This will help farmers to monitor their crop from any remote location and make wise decisions. Trials on different real home plants were done to evaluate the performance and reliability of the system. The results proved the system’s ability to provide accurate and timely data regarding soil health, leading to better and smart agricultural practices.

Amity University (AE), VTT Technical Research Centre of Finland (FI)
Zero hunger
Openalex Percentile: Top 34%
Water Quality Monitoring and Analysis
0.29
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.