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Navegação Coffee Science_v.15, 2020 por título

Navegação Coffee Science_v.15, 2020 por título

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Ultrastructural damage in coffee seeds exposed to drying and to subzero (°C) temperatures

Coelho, Stefânia Vilas Boas; Rosa, Sttela Dellyzete Veiga Franco da; Clemente, Aline da Consolação Sampaio; Lacerda, Laura Nardelli Castanheira; Silva, Luciano Coutinho; Fantazzini, Tatiana Botelho; Ribeiro, Fernando Augusto Sales; Castro, Elisa de Melo (Editora UFLA, 2020)

During drying and freezing, protective mechanisms act to maintain seed physiological quality. Some of these mechanisms contribute to the integrity of cell membranes. The damage caused to cell membranes due to cell stress ...
Unsupervised classification of specialty coffees in homogeneous sensory attributes through machine learning

Ossani, Paulo César; Rossoni, Diogo Francisco; Cirillo, Marcelo Ângelo; Borém, Flávio Meira (Editora UFLA, 2020)

Brazil is the largest exporter of coffee beans, 29% world exports, 15% this volume in specialty coffees. Thereby researches are done, so that identify different segments in the market, in order to direct the end consumer ...
Use of foliar fertilizers as attenuators of injuries caused by glyphosate drift in young coffee plantations

Gonçalves, Ana Luisa Lucca; Pereira, Gustavo Antônio Mendes; Silva, Larissa Aparecida; Alves, Deivide Patrik; Pucci, Laís Franchini; Gonçalves, Victor Afonso Reis; Reis, Marcelo Rodrigues dos (Editora UFLA, 2020)

Glyphosate is the most used product for weed control in young coffee planting rows. The application is carried out in a directed way, avoiding the contact of the product with the crop. However, drift and consequent plant ...
Using unmanned aerial vehicle and machine learning algorithm to monitor leaf nitrogen in coffee

Parreiras, Taya Cristo; Lense, Guilherme Henrique Expedito; Moreira, Rodrigo Santos; Santana, Derielsen Brandão; Mincato, Ronaldo Luiz (Editora UFLA, 2020)

Nitrogen is an essential element for coffee production. However, when fertilization do not consider the spatial variability of the agricultural parameters, it can generate economic losses, and environmental impacts. Thus, ...