Skip to main content
Mendeley Data

Summer Jute Environmental IoT Sensor Dataset — Bangladesh

Smart Agriculture Smart Agriculture
6 views
1 min read
5,235 rows · 10 columns
License
Catalog metadata: This page is a discovery record, not publisher documentation. Verify the description, schema, provenance, version, licence, and citation at the linked source before use.

Catalog Summary

"5,235 rows and 10 columns of jute environmental measurements and cultivation context from Dhaka; the released table has no observation timestamp."

Catalog Notes

Overview

The publisher describes measurements from an ESP32-based summer-jute monitoring platform in Dhaka, Bangladesh.

Measured structure

The inspected CSV contains 5,235 data rows and 10 columns, with no empty cells or exact duplicate rows. Temperature, Humidity, Rainfall and Soil_moisture vary. Location, Season, Type, Sowing, Growth and Harvest are constant across this release. Rainfall contains binary values, not a verified rainfall depth. The raw Sowing header has a trailing space.

Interpretation

The file contains no timestamp or observation-date column. Sowing, Growth and Harvest give cultivation-period context rather than a timestamp for each measurement. Regular sampling, chronological ordering and time-based forecasting splits cannot be established from this table alone. The single crop/location context also limits claims about cross-crop or geographic generalization.

Source and provenance

Dataset DOI: https://doi.org/10.17632/d6xfg44r6m.2.

View Data Structure

To explore column names, data types, and sample rows, visit the official dataset page on Mendeley Data.

Preview on Mendeley Data

Cite This Dataset

Islam, S. A., Sadib, R. J., Zadid, T. H., Jubair, M. A.-A., Nandi, D., Baque, M. A., & Liew, T. H. (2026). Summer Jute Environmental Sensor Dataset from Bangladesh (Version 2) [Data set]. Mendeley Data. https://doi.org/10.17632/d6xfg44r6m.2

Source metadata: Mendeley Data (2026) · DOI: 10.17632/d6xfg44r6m.2

Indexed by IoTDataset.com on Sep 14, 2026

Review the Source Record

Confirm the licence, version, access conditions, file format, and provenance at the source before use.

Open Source Page

Related Topics & Keywords

Browse all Smart Agriculture datasets

Share This Research

More in Smart Agriculture

View All
Smart Agriculture Mendeley Data

Narrabri Farm IoT Sensor Node Data for Evapotranspiration

366 daily rows with 13 columns from the Narrabri Node-4 workbook, including weather and soil measurements at 20, 40 and 60 cm.

Sep 14, 2026
Smart Agriculture IoT Mendeley Data

Smart Irrigation System for Rice Farming - AI-IoT-Based SDIS Dataset

AI-IoT-based Smart Drip Irrigation System (SDIS) dataset specifically designed for rice plants considering local agronomic characteristics, featuring soil moisture, weather data, and irrigation control decisions for precision agriculture.

Jan 31, 2026
Smart Agriculture Zenodo

Farm-Flow : AG-IoT Intrusion Detection Dataset [1.31M Flows, Smart Agriculture]

Agricultural IoT network intrusion dataset with 1.31 million labeled flow records (532 MB) emulating a real AG-IoT farm environment. Covers crop health, weather, and soil condition data with network attack scenarios. CSV via Zenodo. Used for smart farming security research.

Apr 17, 2026
Smart Horticulture IoT Mendeley Data

Utilization of IoT in the Horticulture Sector: Innovative Solutions for Agriculture Support

Dataset documenting IoT sensor deployments in horticulture operations including greenhouse monitoring, fruit/vegetable cultivation parameters, and automated control systems for temperature, humidity, light, and nutrient delivery.

Jan 31, 2026
Agricultural IoT Research Meta-Dataset Mendeley Data

AI & IoT-based Irrigation Publication Dataset (2006-2025) - Bibliometric Research Corpus

Comprehensive bibliometric dataset of research publications on AI and IoT-based irrigation systems from Scopus and Web of Science (2006-2025), enabling systematic reviews, trend analysis, and research mapping in precision irrigation technology.

Jan 31, 2026
Agriculture Kaggle

Smart Farming Sensor Data for Yield Prediction

Real-world smart farming operations data powered by IoT sensors and satellite data for crop yield prediction.

Feb 19, 2026

Explore other topics

All topics →