Search Results - "Rodrigues, Dágila"

Monitoring and predicting corn grain quality on the transport and post-harvest operations in storage units using sensors and machine learning models by Rodrigues, Dágila Melo, Coradi, Paulo Carteri, Teodoro, Larissa Pereira Ribeiro, Teodoro, Paulo Eduardo, Moraes, Rosana dos Santos, Leal, Marisa Menezes

“…Monitoring the intergranular variables of corn grain mass during the transportation, drying, and storage stages it possible to predict and avoid potential…”
Get full text

Tempering time and air temperature relationships for real-scale paddy drying and their effects on the physical, physicochemical, and morphological qualities of polished rice by Leal, Andressa Fernandes, Coradi, Paulo Carteri, Moraes, Rosana dos Santos, Müller, Edson, Teodoro, Paulo Eduardo, Teodoro, Larissa Pereira Ribeiro, Rodrigues, Dágila Melo

“…Tempering-drying time may affect the quality of polished rice. Hence, this study aims to evaluate the effect of drying-tempering time and air temperature…”
Get full text

DRYING AND STORAGE TECHNOLOGIES TO MINIMIZE QUALITY LOSSES IN SOYBEANS IN THE SOUTHERN REGIONS OF BRAZIL by Lima, Roney E., Coradi, Paulo C., Rodrigues, Dágila M., Teodoro, Larissa P. R., Teodoro, Paulo E.

“…ABSTRACT This study aimed to evaluate, on a real production scale, the management of batches of harvested soybean grains in storage units, which are submitted…”
Get full text

Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest by Rodrigues, Dágila, Coradi, Paulo, Timm, Newiton, Fornari, Michele, Grellmann, Paulo, Amado, Telmo, Teodoro, Paulo, Teodoro, Larissa, Baio, Fábio, Chiomento, José

“…In recent years, agricultural remote sensing technology has made great progress. The availability of sensors capable of detecting electromagnetic energy and/or…”
Get full text

MACHINE LEARNING MODELS FOR PREDICTING MECHANICAL DAMAGE, VIGOR AND VIABILITY OF SOYBEAN SEEDS DURING STORAGE by Cirqueira, Laila R., Coradi, Paulo C., Teodoro, Larissa P. R., Teodoro, Paulo E., Rodrigues, Dágila M.

“…ABSTRACT Artificial Intelligence has been widely applied in data prediction for better decision making and process optimization. In the post-harvest, the…”
Get full text

Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest by Oliveira, Josiane Aparecida Viveiros de, Coradi, Paulo Carteri, Teodoro, Larissa Pereira Ribeiro, Rodrigues, Dágila Melo, Teodoro, Paulo Eduardo, Moraes, Rosana Santos de

“…To consider the different characteristics of soybean seeds for designing and regulating the post-harvest equipment, we evaluated the similarities in the…”
Get full text

Drying and intermittence processes on the polished and brown rice physicochemical and morphological quality by near-infrared spectroscopy, X-ray diffraction, and scanning electron microscopy by Martens, Samuel, Carteri Coradi, Paulo, Maldaner, Vanessa, de Oliveira Carneiro, Letícia, Eduardo Teodoro, Paulo, Melo Rodrigues, Dágila, Francine Anschau, Kellen, Pereira Ribeiro Teodoro, Larissa, Marlon Moraes Flores, Érico

“…[Display omitted] •The intermittency attenuated the drying effects to rice quality.•The time drying of rice affected the polished and brown rice quality.•The…”
Get full text

Characterizing and Predicting the Quality of Milled Rice Grains Using Machine Learning Models by de Oliveira Carneiro, Letícia, Coradi, Paulo Carteri, Rodrigues, Dágila Melo, Lima, Roney Eloy, Teodoro, Larissa Pereira Ribeiro, Santos de Moraes, Rosana, Teodoro, Paulo Eduardo, Nunes, Marcela Trojahn, Leal, Marisa Menezes, Lopes, Lhais Rodrigues, Vendrusculo, Tiago Arabites, Robattini, Jean Carlos, Soares, Anderson Henrique, dos Santos Bilhalva, Nairiane

“…Physical classification is the procedure adopted by the rice unloading, delivery, storage, and processing units for the commercial characterization of the…”
Get full text

Monitoring and predicting the quality of soybeans for different drying and storage technologies on a real scale using sensors and Machine Learning models by Lima, Roney Eloy, Coradi, Paulo Carteri, Rodrigues, Dágila Melo, Teodoro, Paulo Eduardo, Teodoro, Larissa Pereira Ribeiro, de Oliveira, Dalmo Paim

“…The application of monitoring techniques associated with artificial intelligence in grain drying and storage operations can assist in decision-making…”
Get full text

Monitoring of intergranular variables for predicting technical breakage of wheat grains stored in vertical silos by Leal, Marisa Menezes, Rodrigues, Dágila Melo, de Moraes, Rosana Santos, Acosta Jaques, Lanes Beatriz, Timm, Newiton da Silva, Coradi, Paulo Carteri

“…The increase in the silos temperature and intergranular relative humidity can alter the equilibrium moisture content of the grains mass causing losses. Thus,…”
Get full text

Impact of boron fertilisation on soybean grain yield as affected by associated physiological factors by Freitas, Igor Libório, Teixeira, Gelza Carliane Marques, Campos, Cid Naudi Silva, Teodoro, Larissa Pereira Ribeiro, Rodrigues, Dágila Melo, Alvarez, Rita de Cássia Félix, Prado, Renato de Mello, Teodoro, Paulo Eduardo

Get full text

Boron nutrition increase soybean seed yield and maintain the quality of germination in storage seeds by Rodrigues, Dágila Melo, Campos, Cid Naudi Silva, de Souza Junior, Jonas Pereira, Alves, Charline Zaratin, da Silva Cândido, Ana Carina, Teodoro, Larissa Pereira Ribeiro, Teodoro, Paulo Eduardo, Coradi, Paulo Carteri, de David, Carlos Henrique Oliveira, de Mello Prado, Renato

“…Boron (B) nutrition can contribute to the conservation of seed quality during storage. Thus, it is crucial to investigate which source and amount of B applied…”
Get full text

Postharvest engineering: Effects of drying and storage operations on the quality of processed soybeans by Lima, Roney Eloy, Rodrigues, Dágila Melo, Santos, Maicon Sérgio Nascimento, Coradi, Paulo Carteri

“…Sustainable production involves adapting processes and reducing losses in the post‐harvest, processing, and industrialization stages of soybean. Currently, the…”
Get full text