Performance Metrics for ANN Models Predicting Tomato Yield from RGB Image Indices

A small dataset of 5.5 KB containing performance metrics for different Artificial Neural Network models. The models were trained and tested to predict plant traits and tomato yield using various indices derived from RGB images at different growth stages. The dataset was authored by Mohamed S. Abd El-baki and last updated on April 30, 2026.

Use Cases

• Benchmarking ANN model performance for yield prediction based on RGB image indices mentioned in the description
• Comparing the effectiveness of different image indices for plant trait prediction based on the described analysis
• Training or validating new predictive models for tomato cultivation based on the provided performance metrics

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting reuse and redistribution.
• File size is 5.5 KB, making it quick to download and inspect.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Likely contains results from training and testing ANN models on image-derived indices.

Time Range

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Freshness

Last updated 2026-04-30 17:29:29; freshness should be verified.

Geography

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