Real‐time equilibrium moisture content monitoring to predict grain
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Descrição
Accuracy of Grain Moisture Content Prediction Using Temperature and Relative Humidity Sensors
Prototype wireless sensor network and Internet of Things platform for real-time monitoring of intergranular equilibrium moisture content and predict the quality corn stored in silos bags - ScienceDirect
Predicting the quality of soybean seeds stored in different environments and packaging using machine learning
Real‐time equilibrium moisture content monitoring to predict grain quality of corn stored in silo and raffia bags - Lutz - 2022 - Journal of Food Process Engineering - Wiley Online Library
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Grain Management Tools: Equilibrium Moisture Content (EMC) Calculator
Mold Chart for Temperature and Humidity Monitors – Stetten Home Services
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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