Edge AI–Based Vision System for Automated Fruit Ripeness Sorting
Vivek G. , DevikaRani M., Ajay Kumar Reddy P., Sekhar V.
Open Access
Volume - 8 • Issue - 1 • march 2026
Abstract
In agricultural supply chains, sorting of fruits and vegetables after-harvest is important to maintain product quality and reduce losses effectively. The advanced systems are expensive and not suitable for small and medium-sized farms. The manual and mechanical sorting techniques are characterized by variability which produce inconsistent results and high labor dependency at large scales. In this research, the proposed work discusses the low-cost, AI-enabled smart sorting system for automatic fruits and vegetables ripeness based classification. This system performs real-time, edge-based image processing integrates an ESP32 microcontroller with Husky Lens AI vision sensor without depending on cloud or specialized spectral sensors. The surface characteristics and visual color evaluated to determine ripeness and the classification results used to control servo-driven actuators combined with conveyors for physical separation. The experimental results show reliable real-time operation, low-power consumption and classification accuracy above 95% under regulated settings. The future improvements and scalability for sustainable and smart automatic post-harvest provided by modular design.
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G., Vivek, DevikaRani M., Ajay Kumar Reddy P., and Sekhar V.. "Edge AI–Based Vision System for Automated Fruit Ripeness Sorting." Journal of Soft Computing Paradigm 8, no. 1 (2026): 45-70. doi: 10.36548/jscp.2026.1.003
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G., V., M., D., P., A. K. R., & V., S. (2026). Edge AI–Based Vision System for Automated Fruit Ripeness Sorting. Journal of Soft Computing Paradigm, 8(1), 45-70. https://doi.org/10.36548/jscp.2026.1.003
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G., Vivek, et al. "Edge AI–Based Vision System for Automated Fruit Ripeness Sorting." Journal of Soft Computing Paradigm, vol. 8, no. 1, 2026, pp. 45-70. DOI: 10.36548/jscp.2026.1.003.
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G. V, M. D, P. AKR, V. S. Edge AI–Based Vision System for Automated Fruit Ripeness Sorting. Journal of Soft Computing Paradigm. 2026;8(1):45-70. doi: 10.36548/jscp.2026.1.003
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V. G., D. M., A. K. R. P., and S. V., "Edge AI–Based Vision System for Automated Fruit Ripeness Sorting," Journal of Soft Computing Paradigm, vol. 8, no. 1, pp. 45-70, Mar. 2026, doi: 10.36548/jscp.2026.1.003.
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G., V., M., D., P., A.K.R. and V., S. (2026) 'Edge AI–Based Vision System for Automated Fruit Ripeness Sorting', Journal of Soft Computing Paradigm, vol. 8, no. 1, pp. 45-70. Available at: https://doi.org/10.36548/jscp.2026.1.003.
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@article{g.2026,
author = {Vivek G. and DevikaRani M. and Ajay Kumar Reddy P. and Sekhar V.},
title = {{Edge AI–Based Vision System for Automated Fruit Ripeness Sorting}},
journal = {Journal of Soft Computing Paradigm},
volume = {8},
number = {1},
pages = {45-70},
year = {2026},
publisher = {IRO Journals},
doi = {10.36548/jscp.2026.1.003},
url = {https://doi.org/10.36548/jscp.2026.1.003}
}
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Keywords
Artificial intelligence
Husky Lens
Machine Vision
Embedded Systems
Ripeness Detection
Smart Agriculture
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