Smart Agro-Vehicle Freshness Monitoring System

In the modern agricultural sector, preserving the freshness and quality of harvested vegetables during storage and transport is critical. This project presents an IoT-based solution for monitoring the freshness of vegetables using Wi-Fi technology. The system integrates a network of sensors, including the DHT11 for measuring temperature and humidity, the MQ135 gas sensor to detect spoilage-indicating gases, and an ultrasonic sensor, which is repurposed to measure the quantity of fuel in vehicles. Additionally, an MPU6050 accelerometer sensor detects accidents The data collected from these sensors are processed using an ESP32 microcontroller, which triggers corrective actions such as activating a DC fan for ventilation or sounding a buzzer when spoilage is detected. This Project allows farmers or warehouse managers to receive real-time data from distant storage locations or vehicle systems. This IoT-based system ensures a cost-effective and reliable solution for monitoring environmental factors affecting vegetable freshness and vehicle safety. By addressing challenges in storage management and transportation, the system reduces post-harvest losses, improves supply chain efficiency, and enhances safety decision-making through real-time data access. Keywords: IoT technology, vegetable freshness, Wi-Fi, DHT11, MQ135, ESP32 microcontroller, MPU6050, storage, transportation safety and real-time monitoring,

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-01
DOI
https://doi.org/10.55041/ijsrem41955
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

Smart Agro-Vehicle Freshness Monitoring System

Remya K. R
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Smart Agriculture and AI
article

Smart Agro-Vehicle Freshness Monitoring System

Remya K. R
article en

Abstract

In the modern agricultural sector, preserving the freshness and quality of harvested vegetables during storage and transport is critical. This project presents an IoT-based solution for monitoring the freshness of vegetables using Wi-Fi technology. The system integrates a network of sensors, including the DHT11 for measuring temperature and humidity, the MQ135 gas sensor to detect spoilage-indicating gases, and an ultrasonic sensor, which is repurposed to measure the quantity of fuel in vehicles. Additionally, an MPU6050 accelerometer sensor detects accidents The data collected from these sensors are processed using an ESP32 microcontroller, which triggers corrective actions such as activating a DC fan for ventilation or sounding a buzzer when spoilage is detected. This Project allows farmers or warehouse managers to receive real-time data from distant storage locations or vehicle systems. This IoT-based system ensures a cost-effective and reliable solution for monitoring environmental factors affecting vegetable freshness and vehicle safety. By addressing challenges in storage management and transportation, the system reduces post-harvest losses, improves supply chain efficiency, and enhances safety decision-making through real-time data access. Keywords: IoT technology, vegetable freshness, Wi-Fi, DHT11, MQ135, ESP32 microcontroller, MPU6050, storage, transportation safety and real-time monitoring,

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 97%
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.