Use of Machine Vision Technology for Seed Quality Assessment in Millets: A Case Study in Sorghum
摘要
Sorghum is a critical staple crop in many parts of the world, including India, where it serves as a primary source of nutrition and income for millions of small-scale farmers. The efficient trading of sorghum through platforms like the Electronic National Agriculture Market (e-NAM) requires rigorous quality control measures to ensure fair pricing and food safety. This research paper presents the development and evaluation of a machine-based system for the comprehensive analysis of physical purity and quality assessment of sorghum grains, aimed at improving the efficiency of the e-NAM.