• Shankaragouda Siddanagouda Patil
• Amaresh A G
• Dr. Malini

The cashew nut industry faces significant challenges in quality control due to reliance on manual segregation processes. Manual methods are labor-intensive, prone to errors, and time-consuming. This report presents a Raspberry Pi-based smart conveyor system for automated cashew nut segregation. The system integrates a camera to capture images of cashew nuts, a Raspberry Pi for processing, and a servo-controlled robotic segregator for sorting nuts into good, bad, or broken categories. The YOLOv5 algorithm is employed for real-time object detection and classification, ensuring high accuracy and efficiency. With its compact design, the system is cost-effective and scalable, making it suitable for small to medium-scale industries.

"GRADING OF CASHEW NUTS BASED ON TEXTURE, COLOR AND SIZE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.e278-e282, January-2025, Available :http://www.jetir.org/papers/JETIR2501532.pdf

"GRADING OF CASHEW NUTS BASED ON TEXTURE, COLOR AND SIZE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppe278-e282, January-2025, Available at : http://www.jetir.org/papers/JETIR2501532.pdf