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

Abstract: 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.

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