Application of intelligent medical sensing technology

J Fu, Q Gao, S Li - Biosensors, 2023 - mdpi.com
With the popularization of intelligent sensing and the improvement of modern medical
technology, intelligent medical sensing technology has emerged as the times require. This …

Enhancement of quality and quantity of woody biomass produced in forests using machine learning algorithms

W Peng, OK Sadaghiani - Biomass and Bioenergy, 2023 - Elsevier
Forest is considered a significant source of woody biomass production. Sustainable
production of wood, lower emittance of CO2 from burning, and lower amount of sulfur and …

Agi for agriculture

G Lu, S Li, G Mai, J Sun, D Zhu, L Chai, H Sun… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including
healthcare, finance, transportation, and education. Within healthcare, AGI is being utilized to …

[HTML][HTML] Analysis of the factors influencing the stability of stored grains: Implications for agricultural sustainability and food security

SR Tushar, MFB Alam, SM Zaman… - Sustainable Operations …, 2023 - Elsevier
The recent unprecedented situations like the COVID-19 pandemic and the Russia-Ukraine
war have severely impacted food security and grain production in emerging economies …

Faster and accurate green pepper detection using NSGA-II-based pruned YOLOv5l in the field environment

Y Nan, H Zhang, Y Zeng, J Zheng, Y Ge - Computers and Electronics in …, 2023 - Elsevier
Rapid and accurate detection of green peppers are essential for their growth monitoring,
yield estimation, phenotypic monitoring, and robotic harvesting. In order to simplify the …

Characterizing and predicting the quality of milled rice grains using machine learning models

L de Oliveira Carneiro, PC Coradi, DM Rodrigues… - AgriEngineering, 2023 - mdpi.com
Physical classification is the procedure adopted by the rice unloading, delivery, storage, and
processing units for the commercial characterization of the quality of the grains. This step …

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

É Lutz, PC Coradi, LBA Jaques… - Journal of Food …, 2022 - Wiley Online Library
The use of silo and raffia bags for the temporary grain storage has been increasing in recent
years. However, the methods for monitoring a stored product are limited to visual inspections …

Monitoring and predicting corn grain quality on the transport and post-harvest operations in storage units using sensors and machine learning models

DM Rodrigues, PC Coradi, LPR Teodoro… - Scientific Reports, 2024 - nature.com
Monitoring the intergranular variables of corn grain mass during the transportation, drying,
and storage stages it possible to predict and avoid potential grain quality losses. For …

Early detection of quality alterations in corn grains stored in vertical prototype silos using real-time monitoring of carbon dioxide and equilibrium moisture content

N dos Santos Bilhalva, PC Coradi, B Biduski… - Food and Bioproducts …, 2023 - Elsevier
Early detection of the deterioration of grain stored in vertical silos would benefit food safety
in these systems. Real-time monitoring of the intergranular variables-temperature, relative …

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

É Lutz, PC Coradi - Food Analytical Methods, 2023 - Springer
The determination of equilibrium moisture content, associated with measuring the
respiration of the grain mass in real time, is a possible indicator for the indirect prediction of …