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July 26, 2026Scientific Journal of King Faisal University Basic and Applied SciencesOpen Access

Development of a simulated annealing–adaptive neuro-fuzzy inference system (SA-ANFIS) model for sorghum seed intra-row spacing optimization

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Authors

IAIbrahim AbubakarAMAbdullahi Ibrahim MohammedBABALAMI Audu Ayuba

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Overview

Randomized trial develops a model to optimize sorghum seed spacing, indicating improved planting efficiency.

Key Points

  • The study aims to develop a model for optimizing sorghum seed intra-row spacing based on soil moisture and planter speed.
  • Conducted a two-factor factorial experiment with 120 observations across different speed and moisture levels.
  • Utilized an instrumented smart-planter prototype with capacitive soil moisture sensors for data collection.
  • Employed a first-order Sugeno ANFIS model tuned by Simulated Annealing to enhance predictive accuracy.
  • Optimized training MSE reduced from 0.0028 to 0.0011, improving model performance.
  • RMSE on the test set improved from 0.8171 cm (R² = 0.830) to 0.4595 cm (R² = 0.898), a 43.8% reduction.
  • Statistically significant improvements confirmed via paired t-tests (p < 0.05), with near-zero mean bias in Bland–Altman analysis.

Cite This Study

Abubakar et al. (2026) studied this question.

synapsesocial.com/papers/6a65a962d3aea3239cd794a6https://doi.org/10.1007/s44523-026-00011-x
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