Development of Optimized System for Measurement and Detection of Moisture Level in Grains

Moisture content is a key factor affecting the quality, shelf life, and market value of grains.Accurate detection is essential for proper storage, processing, and overall post-harvest management.This study reviews both traditional and modern techniques for measuring moisture content.While methods like oven drying are reliable, they are time-consuming and unsuitable for real-time use.In contrast, advanced techniques such as capacitance, microwave, and near-infrared (NIR) spectroscopy provide faster, more accurate, and often non-destructive alternatives.The study discusses the working principles, advantages, and limitations of each method, focusing on accuracy, efficiency, and cost.Experimental results highlight the effectiveness of modern, non-invasive techniques in delivering rapid and precise moisture readings without damaging the grain.These technologies enable better decision-making in storage and processing, helping reduce post-harvest losses, maintain grain quality, and support food security.