Durian Plantation Epiphyte Lichen Image Dataset

#Image classification #object detection #biological recognition #Crop management #durian cultivation #plant protection
  • 500 records
  • 1.5G
  • JPG
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

Currently, the agriculture and forestry sectors face dual challenges of high productivity and ecological sustainability, with durian cultivation particularly reliant on refined environmental management. However, identifying epiphytic lichens on durian trees is a time-consuming task that requires specialized knowledge. Existing manual identification methods are inefficient and prone to significant errors. This dataset is dedicated to automating the identification of epiphytic lichens on durian trees through machine learning, reducing management costs and improving identification accuracy. The dataset is collected using high-resolution cameras in durian plantations, ensuring data richness from multiple angles and under different lighting conditions. Data quality control is performed using a combination of multiple rounds of annotation and machine learning validation, with the annotation team consisting of agricultural and biological experts to ensure professionalism and accuracy. The data undergoes preprocessing steps such as normalization, noise reduction, and augmentation, and is stored using a hierarchical folder structure for ease of access and management.

Dataset Insights

Sample Examples

a20f4ca3**.jpg|1920*2560|727.04 KB

49b743a6**.jpg|1920*2560|520.52 KB

d2db7b85**.jpg|1920*2560|623.58 KB

970b37e5**.jpg|1920*2560|883.90 KB

9871f908**.jpg|1920*2560|452.41 KB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
lichen_typestringThe type of lichen identified in the image.
lichen_colorstringThe primary color of the lichen in the image.
lichen_sizestringThe size description of the lichen in the image.
growth_patternstringThe growth pattern of the lichen on branches, such as foliose or fruticose.
lichen_texturestringThe texture of the lichen surface, such as smooth or rough.
lichen_densitystringThe density of lichen in the image.
lichen_health_statusstringThe health status of the lichen, such as healthy or damaged.
presence_of_symbiotic_speciesbooleanWhether there are other species symbiotic with the lichen in the image.
background_vegetationstringThe type of vegetation background where the lichen is growing in the image.
light_exposurestringThe light exposure condition of the lichen, such as direct sunlight or shade.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

How does this dataset help in durian plantation management?
The dataset aids in the identification and monitoring of epiphytes by providing lichen images from durian plantations, enhancing decision-making in plantation management.
Who would be interested in this dataset?
Agricultural researchers, durian growers, and agri-tech companies involved in durian cultivation will be interested in this dataset.
What types of lichen images are included in the dataset?
The dataset includes images of various common epiphyte lichens suitable for identification needs in durian growing environments.
What kind of problems can be solved using this dataset?
The dataset can be used to effectively identify and monitor lichens in durian growing environments, aiding in controlling unwanted epiphyte growth and ensuring healthy durian development.
Is this dataset applicable to the management of other crops?
While the dataset primarily targets durian cultivation, it may also be useful for other crops that require lichen identification and management.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2026,
  title={Durian Plantation Epiphyte Lichen Image Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/16e725cd87febaeb6206f396a446c041?dataset_task_cate_id=2},
  urldate={2026-02-04},
  keywords={Durian plantation, epiphyte identification, lichen image data, crop management dataset},
  version={1.0}
}

Using this in research? Please cite us.

placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder

Popular Dataset Searches