Artificial Neural Network Performance for Predicting Tomato Yield from RGB Image Indices

A 5.5 KB Excel file from figshare contains performance metrics for different Artificial Neural Network models. The models were trained and tested using RGB image indices taken at the flowering stage to predict plant traits and tomato yield. The dataset was authored by Mohamed S. Abd El-baki and last updated on April 30, 2026.

Use Cases

• Compare the performance of different ANN architectures for agricultural prediction tasks based on the described model evaluations.
• Benchmark image-based yield prediction models using the provided RGB image indices as features.
• Investigate the relationship between plant traits at flowering and final yield using the described predictive modeling results.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting reuse and redistribution.
• File size is 5.5 KB, ensuring quick download and inspection.
• Update timestamp is explicitly provided as 2026-04-30 17:29:27.

Limitations

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

Provenance

Source

figshare, authored by Mohamed S. Abd El-baki.

Collection Method

Likely derived from experimental research involving ANN training and testing on image data.

Time Range

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Freshness

Last updated 2026-04-30 17:29:27; freshness should be verified.

Geography

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