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Datasets:
lakshitha1629
/
Crop-Disorder-Symptom-Questions

Tasks:
Tabular Classification
Modalities:
Tabular
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Tags:
agriculture
plant-disease
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Q1
int64
Q2
int64
Q3
int64
Q4
int64
Q5
int64
Q6
int64
Q7
int64
Q8
int64
Q9
int64
Q10
int64
Q11
int64
Q12
int64
Q13
int64
Q14
int64
Q15
int64
Q16
int64
Q17
int64
Q18
int64
Q19
int64
Q20
int64
Output
string
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ShootFruitBorer
End of preview. Expand in Data Studio

Crop Disorder Symptom Questions

This dataset is the 132-row Ontology Part/dataset.csv from Crop Disorder Detection. It contains 20 binary columns (Q1–Q20) and an Output class. The source project uses an ontology component alongside image processing to identify crop disorders.

Data

  • Rows: 132
  • Features: Q1 through Q20, recorded as 0 or 1
  • Target: Output (8 classes)
  • Class counts: LeafWebber 12; Nitrogen 24; Posphprus 30; Potassium 12; PowderyMildew 18; RedCottonBug 6; ShootFruitBorer 6; YellowVeinMosaic 24

The spellings and labels are preserved from the GitHub CSV. The source repository does not define the individual questions or document a collection method, license, or train/test split. Treat this as project data for exploration and reproduction, not a validated agricultural diagnostic dataset.

Source and related model

Downloads last month
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Number of rows:
132
Total file size:
10.8 kB

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