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.
Keywords: USB to TTL UART Serial Converter, ADS1115, MS51FB9AE, etc.
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DOI:
10.17148/IJARCCE.2025.14420
[1] Shishir A. Bagal, Yash A. Sahare, Sushil S. Rahate, Dashama S. Borkar, "Development of Optimized System for Measurement and Detection of Moisture Level in Grains.," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14420
