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

Measurement : journal of the International Measurement Confederation, 2022-01, Vol.188, p.110609, Article 110609

2022

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

Scientific reports, 2020-12, Vol.10 (1), p.22006-22006, Article 22006

2020

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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

Food analytical methods, 2023-06, Vol.16 (6), p.1079-1098

2023

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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

Expert systems with applications, 2022-12, Vol.208, p.118242, Article 118242

2022

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Monitoring of carbon dioxide and equilibrium moisture content for early detection of physicochemical and morphological changes in soybeans stored in vertical silos

Food chemistry, 2024-03, Vol.436, p.137721-137721, Article 137721

2024

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Effects of the storage temperature and time of corn from the center and extremities of corncob on quality parameters

Journal of cereal science, 2023-03, Vol.110, p.103645, Article 103645

2023

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Influence of broken kernels content on soybean quality during storage

Grain & oil science and technology (Online), 2024-06, Vol.7 (2), p.105-112

2024

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Nondestructive Technology for Real-Time Monitoring and Prediction of Soybean Quality Using Machine Learning for a Bulk Transport Simulation

IEEE sensors journal, 2023-02, Vol.23 (3), p.3028-3040

2023

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Energy-Qualitative and Sustainable Impacts on Differents Soy Grain Drying Technologies

Journal of agricultural science (Toronto), 2020-05, Vol.12 (6), p.109

2020

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

Journal of food process engineering, 2022-09, Vol.45 (9), p.n/a

2022

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Spatial and temporal evolution of hydrothermal alteration at Lavras do Sul, Brazil; evidence from dioctahedral clay minerals

Clays and clay minerals, 2008-04, Vol.56 (2), p.222-243

2008

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

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

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

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

Monitoring of carbon dioxide and equilibrium moisture content for early detection of physicochemical and morphological changes in soybeans stored in vertical silos

Effects of the storage temperature and time of corn from the center and extremities of corncob on quality parameters

Influence of broken kernels content on soybean quality during storage

Nondestructive Technology for Real-Time Monitoring and Prediction of Soybean Quality Using Machine Learning for a Bulk Transport Simulation

Energy-Qualitative and Sustainable Impacts on Differents Soy Grain Drying Technologies

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

Spatial and temporal evolution of hydrothermal alteration at Lavras do Sul, Brazil; evidence from dioctahedral clay minerals

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