Author(s):
Narendra Kumar Dewangan, Padmavati Shrivastava
Email(s):
narendra.nic@gmnail.com , shrivastava.padmavati@gmail.com
Address:
Narendra Kumar Dewangan1, Padmavati Shrivastava2
1Asst. Professor, Department of Artificial Intelligence
Shri Shankaracharya Institute of Professional Management and Technology, Raipur, C.G., India.
2Associate Professor, Department of AIML, Rungta International Science University, Bhilai, C.G. India.
Published In:
Book, Multimodal Artificial Intelligence for Intelligent Quality Assessment
Year of Publication:
August, 2026
Online since:
August 12, 2026
DOI:
10.52711/book.anv.9788199786417-08 
ABSTRACT:
This chapter presents the concept of a Smart Rice Mill as an intelligent, connected, automated, and traceable rice-processing ecosystem. It integrates IoT sensors, computer vision, deep learning, Edge AI, cloud analytics, predictive maintenance, intelligent control, and blockchain to improve rice-processing operations. The chapter discusses automated grain inspection, variety classification, defect detection, broken-rice estimation, milling-quality prediction, machine monitoring, process optimization, and digital recording of batch history. It also examines implementation challenges involving legacy machinery, hardware and sensor reliability, cybersecurity, staff training, integration, and economic feasibility. The proposed future direction is a closed-loop Smart Rice Mill capable of sensing paddy and machine conditions, predicting quality, adjusting processing parameters, verifying output, and maintaining complete traceability.
Cite this article:
Narendra Kumar Dewangan, Padmavati Shrivastava. Smart Rice Mill: AI, IoT, Computer Vision and Blockchain-Based Intelligent Rice Processing. Multimodal Artificial Intelligence for Intelligent Quality Assessment. 2026; 1(1): 10-15. DOI: 10.52711/book.anv.9788199786417-08DOI: https://doi.org/10.52711/book.anv.9788199786417-08
References not available.