Real‐time equilibrium moisture content monitoring to predict grain

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Equilibrium Moisture Content and Dioxide Carbon Monitoring in Real-Time to Predict the Quality of Corn Grain Stored in Silo Bags using Artificial Neural Networks

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Accuracy of Grain Moisture Content Prediction Using Temperature and Relative Humidity Sensors

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Equilibrium Moisture Content and Dioxide Carbon Monitoring in Real-Time to Predict the Quality of Corn Grain Stored in Silo Bags using Artificial Neural Networks

Real‐time equilibrium moisture content monitoring to predict grain quality of corn stored in silo and raffia bags

Influence of storage environment on maize grain: CO2 production, dry matter losses and aflatoxins contamination: Food Additives & Contaminants: Part A: Vol 36, No 1