About this Dataset

Data And Images From: Numerical Signature Dataset Of Thoracic And Elytral Fragments From Curculionidae And Tenebrionidae Beetles For AI-Based Species Identification

This dataset presents curated and annotated 256×256 pixel image fragments of thoracic and elytral regions from six economically significant species within the beetle families Curculionidae and Tenebrionidae. These anatomical fragments were extracted from high-resolution trap images to support numerical signature generation for species-level classification. The dataset enables researchers to develop and validate image-based machine learning pipelines for pest identification in stored product environments. All samples are standardized and include metadata indicating species, anatomical region, and imaging parameters. This work contributes to advancing computational entomology, post-harvest pest management, and real-time automated monitoring systems.

Insect pest detection in post-harvest storage environments is crucial for mitigating economic losses and ensuring food security. Traditional identification approaches are labor-intensive and rely on full-body morphological features. This dataset introduces a fragment-based classification framework using annotated thoracic and elytral sections of stored-product beetles. Species included are:

Sitophilus zeamais
Sitophilus oryzae
Sitophilus granarius
Tribolium castaneum
Latheticus oryzae
Tribolium confusum

Folder abbreviations for the insects are Sitophilus zeamais (mw); Sitophilus oryzae (rw); Sitophilus granarius (ww); Tribolium castaneum (tc); Latheticus oryzae (lo); and Tribolium confusum (tco).

Key numerical signature descriptors were computed for each fragment:

Skewness – Asymmetry of pixel intensity distribution
Kurtosis – Sharpness of contour distributions
Entropy – Texture complexity
Standard Deviation – Pixel intensity variation
Organization: Department of Agriculture
Last updated: 2025-08-05T19:04:04.834175
Tags: computer-vision, image-identification, insect-fragment, numerical-signature, stored-product-insects

Tables

Curculionidae Signature Metrics

@usgov.usda_gov_data_and_images_from_numerical_signature_of_t_d37dbe5c.curculionidae_signature_metrics

65.27 kB
1,553 rows
7 columns

CREATE TABLE curculionidae_signature_metrics (
  "imagename" VARCHAR,
  "skewness" DOUBLE,
  "kurtosis" DOUBLE,
  "entropy" DOUBLE,
  "standarddeviation" DOUBLE,
  "species" VARCHAR,
  "fragment" VARCHAR
);

Fragment Metadata Curculionidae

@usgov.usda_gov_data_and_images_from_numerical_signature_of_t_d37dbe5c.fragment_metadata_curculionidae

16.37 kB
1,565 rows
5 columns

CREATE TABLE fragment_metadata_curculionidae (
  "originalfile" VARCHAR,
  "relativepath" VARCHAR,
  "anatomicalregion" VARCHAR,
  "species" VARCHAR,
  "augmentationtype" VARCHAR
);

Fragment Metadata Tenebrionidae

@usgov.usda_gov_data_and_images_from_numerical_signature_of_t_d37dbe5c.fragment_metadata_tenebrionidae

19.26 kB
1,823 rows
5 columns

CREATE TABLE fragment_metadata_tenebrionidae (
  "originalfile" VARCHAR,
  "relativepath" VARCHAR,
  "anatomicalregion" VARCHAR,
  "species" VARCHAR,
  "augmentationtype" VARCHAR
);

Tenebrionidae Signature Metrics

@usgov.usda_gov_data_and_images_from_numerical_signature_of_t_d37dbe5c.tenebrionidae_signature_metrics

74.83 kB
1,812 rows
7 columns

CREATE TABLE tenebrionidae_signature_metrics (
  "imagename" VARCHAR,
  "skewness" DOUBLE,
  "kurtosis" DOUBLE,
  "entropy" DOUBLE,
  "standarddeviation" DOUBLE,
  "species" VARCHAR,
  "fragment" VARCHAR
);