Authors :
Dr. S.A. Bagal; Yash A. Sahare; Sushil S. Rahate; Dashma Dashama S. Borkar
Volume/Issue :
Volume 10 - 2025, Issue 3 - March
Google Scholar :
https://tinyurl.com/yyeycddd
Scribd :
https://tinyurl.com/2fxyttmt
DOI :
https://doi.org/10.38124/ijisrt/25mar082
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
One important factor influencing grain quality, shelf life, and market value is moisture content. For grain to be
stored and processed efficiently, moisture levels must be measured and detected accurately. This study reviews a number of
methods for determining moisture content, including more contemporary approaches like capacitance, microwave, and
near-infrared spectroscopy as well as more conventional ones like oven drying. The concepts, benefits, and drawbacks of
each approach are discussed, with a focus on accuracy, efficiency, and affordability. The efficiency of non-destructive
techniques, which enable quick evaluation without causing harm to the grains, is demonstrated by the experimental results.
The results highlight how crucial accurate moisture detection devices are to post-harvest management and agricultural
practices, which in turn improves food security and lowers waste in grain supply chains. Since grains are staples in the diets
of billions of people worldwide, they are an essential part of global food security. However, the quality and durability of
grain products are greatly influenced by their moisture content. While too little moisture can negatively impact grain
processing and end-use, too much moisture can cause mould growth, spoiling, and nutritional loss. For this reason, farmers,
grain handlers, and processors must detect moisture accurately and promptly.
Keywords :
USB to TTL UART Serial Converter, ADS1115, MS51FB9AE, etc.
References :
- Smith, J., Kumar, A., & Lee, H. (2019). Measurement of moisture content in grains using NIR spectroscopy. Journal of Agricultural Engineering, 45(2), 123–130.
- Johnson, R., Patel, S., & Wang, T. (2020). Advances in grain drying technologies for moisture control. Agricultural Science Journal, 58(3), 215–229.
- Brown, L., Ahmed, M., & Zhang, Y. (2018). Evaluation of grain moisture meters: A comparative study. Journal of Food Processing and Preservation, 34(4), 567–578.
- Carter, P., Lin, D., & O'Neill, R. (2021). Impact of moisture content on grain storage longevity. International Journal of Agricultural Research, 49(1), 89–101.
- Davis, K., Chen, L., & Roy, P. (2022). Use of dielectric properties for grain moisture measurement. Agricultural Engineering Review, 60(2), 145–154.
- Miller, G., Hassan, Z., & Taylor, A. (2017). Non-destructive methods for determining grain moisture. Journal of Agricultural Innovations, 33(5), 301–309.
- Thompson, J., & Yamada, H. (2016). Modeling grain moisture content during drying processes. Journal of Agricultural Systems, 40(4), 452–467.
- Wilson, E., Gupta, R., & Park, S. (2021). Microwave-based techniques for moisture detection in cereals. Postharvest Technology Journal, 54(3), 177–188.
- Allen, T., Smithson, K., & Rahman, M. (2019). Relationship between grain moisture and fungal growth. International Journal of Food Storage Science, 29(2), 125–136.
- Green, A., Nakamura, T., & Khan, F. (2020). Impact of moisture on mechanical properties of stored grains. Journal of Agricultural Materials Science, 47(1), 23–35.
- White, B., Martinez, J., & Lee, D. (2018). Comparative study of traditional and modern grain moisture meters. Agricultural Equipment Research, 38(4), 221–232.
- Stewart, H., & Kim, J. (2022). Effects of high moisture content on grain quality during long-term storage. Journal of Food Security and Sustainability, 50(3), 89–98.
- Edwards, F., Singh, P., & Chen, Z. (2017). Infrared spectroscopy for real-time moisture analysis in grain processing. International Journal of Agricultural Physics, 36(5), 355–368.
- Ahmed, K., Brown, S., & Lopez, R. (2019). Calibration and validation of grain moisture sensors for diverse crops. Precision Agriculture Journal, 43(2), 145–158.
- Zhang, Y., Torres, M., & Rivera, A. (2020). Quantitative modeling of equilibrium moisture in grains. Journal of Agricultural Thermodynamics, 52(1), 67–78.
One important factor influencing grain quality, shelf life, and market value is moisture content. For grain to be
stored and processed efficiently, moisture levels must be measured and detected accurately. This study reviews a number of
methods for determining moisture content, including more contemporary approaches like capacitance, microwave, and
near-infrared spectroscopy as well as more conventional ones like oven drying. The concepts, benefits, and drawbacks of
each approach are discussed, with a focus on accuracy, efficiency, and affordability. The efficiency of non-destructive
techniques, which enable quick evaluation without causing harm to the grains, is demonstrated by the experimental results.
The results highlight how crucial accurate moisture detection devices are to post-harvest management and agricultural
practices, which in turn improves food security and lowers waste in grain supply chains. Since grains are staples in the diets
of billions of people worldwide, they are an essential part of global food security. However, the quality and durability of
grain products are greatly influenced by their moisture content. While too little moisture can negatively impact grain
processing and end-use, too much moisture can cause mould growth, spoiling, and nutritional loss. For this reason, farmers,
grain handlers, and processors must detect moisture accurately and promptly.
Keywords :
USB to TTL UART Serial Converter, ADS1115, MS51FB9AE, etc.