DOI: 10.5281/zenodo.11267738
title: Advanced IoT Agriculture 2024

description: Source Data with Authors

In the master's thesis research conducted by student Mohammed Ismail Lifta (2023-2024) at the Department of Computer Science, College of Computer Science and Mathematics- Tikrit University,Iraq.Data were collected from the Agriculture Lab on plants that grow in a IoT greenhouse and Traditional greenhouse .The study was supervised by Professor (Assistant) Wisam Dawood Abdullah, administrator of Cisco Networking Academy / Tikrit University.

Dataset Description

The dataset "Advanced_IoT_Dataset.csv" consists of 30,000 entries and 14 columns. Below are the detailed descriptions of each column:

Random: An identifier for each record, likely indicating a random sample or batch (object type). Average of chlorophyll in the plant (ACHP): The average chlorophyll content in the plant (float type). Plant height rate (PHR): The rate of plant height growth (float type). Average wet weight of the growth vegetative (AWWGV): The average wet weight of vegetative growth (float type). Average leaf area of the plant (ALAP): The average leaf area of the plant (float type). Average number of plant leaves (ANPL): The average number of leaves per plant (float type). Average root diameter (ARD): The average diameter of the plant's roots (float type). Average dry weight of the root (ADWR): The average dry weight of the plant's roots (float type). Percentage of dry matter for vegetative growth (PDMVG): The percentage of dry matter in vegetative growth (float type). Average root length (ARL): The average length of the plant's roots (float type). Average wet weight of the root (AWWR): The average wet weight of the plant's roots (float type). Average dry weight of vegetative plants (ADWV): The average dry weight of vegetative parts of the plant (float type). Percentage of dry matter for root growth (PDMRG): The percentage of dry matter in root growth (float type). Class: The class or category to which the plant record belongs (object type).

More detailed description of the columns in the dataset:

Random: A categorical identifier for each record. This column appears to have values like R1, R2, and R3, which could represent different random samples.

Average of chlorophyll in the plant (ACHP): This column contains float values representing the average chlorophyll content in the plant. Chlorophyll is vital for photosynthesis, and its measurement can indicate the health and efficiency of the plant in converting light energy into chemical energy.

Plant height rate (PHR): This column contains float values representing the rate of growth in the height of the plant. This metric is essential for understanding the vertical growth dynamics of the plant over time.

Average wet weight of the growth vegetative (AWWGV): This column contains float values representing the average wet weight of the vegetative parts of the plant. Wet weight can be an indicator of the water content and overall biomass of the plant's vegetative growth.

Average leaf area of the plant (ALAP): This column contains float values representing the average leaf area of the plant. Leaf area is a critical factor in photosynthesis, as it determines the surface area available for light absorption.

Average number of plant leaves (ANPL): This column contains float values representing the average number of leaves per plant. The number of leaves can correlate with the plant's ability to perform photosynthesis and its overall health.

Average root diameter (ARD): This column contains float values representing the average diameter of the plant's roots. Root diameter can affect the plant's ability to absorb water and nutrients from the soil.

Average dry weight of the root (ADWR): This column contains float values representing the average dry weight of the plant's roots. Dry weight is a measure of the plant's biomass after removing water content and is an indicator of the root's structural and storage capacity.

Percentage of dry matter for vegetative growth (PDMVG): This column contains float values representing the percentage of dry matter in the vegetative parts of the plant. This metric indicates the proportion of the plant's biomass that is not water, which can be crucial for understanding its structural and nutritional status.

Average root length (ARL): This column contains float values representing the average length of the plant's roots. Root length can influence the plant's ability to explore and absorb nutrients and water from the soil.

Average wet weight of the root (AWWR): This column contains float values representing the average wet weight of the plant's roots. Wet weight includes the water content in the roots, indicating their overall biomass and water retention capacity.

Average dry weight of vegetative plants (ADWV): This column contains float values representing the average dry weight of the vegetative parts of the plant. This measure reflects the structural biomass of the plant without water content.

Percentage of dry matter for root growth (PDMRG): This column contains float values representing the percentage of dry matter in the plant's roots. This metric shows the proportion of the root biomass that is not water, important for assessing root health and function.

Class: A categorical column indicating the class or category to which the plant record belongs. This could represent different groups or conditions under which the plants were studied or classified.

The dataset provides comprehensive information about various plant metrics related to both vegetative and root growth, along with classification labels that could be used for analysis or machine learning purposes.

How to Use

This data can be used for environmental research and studies. Proper attribution must be given when using this data in any publication.No Change the dataset.

Contact

For more information or inquiries, please contact the principal researcher: Professor ( Assistant) Wisam Dawood Abdullah (Email: wisamdawood@tu.edu.iq).