Real‐time equilibrium moisture content monitoring to predict grain

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

Influences of drying temperature and storage conditions for preserving the quality of maize postharvest on laboratory and field scales

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

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

Post-Harvest: Monitoring Stored Grain

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

Grain Drying Tools: Equilibrium Moisture Content Tables and Psychrometric Charts - PDF Free Download

Applications of new technologies for monitoring and predicting grains quality stored: Sensors, Internet of Things, and Artificial Intelligence - ScienceDirect

Grain Moisture Content Impacts Stored Grain Profits at Sale

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