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Registros recuperados: 11 | |
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Chaim,Aldemir; Pessoa,Maria Conceição Peres Young; Camargo Neto,João; Hermes,Luiz Carlos. |
The main objective of this work was to compare two methods to estimate the deposition of pesticide applied by aerial spraying. Hundred and fifty pieces of water sensitive paper were distributed over an area of 50 m length by 75 m width for sampling droplets sprayed by an aircraft calibrated to apply a spray volume of 32 L/ha. The samples were analysed by visual microscopic method using NG 2 Porton graticule and by an image analyser computer program. The results reached by visual microscopic method were the following: volume median diameter, 398±62 mum; number median diameter, 159±22 mum; droplet density, 22.5±7.0 droplets/cm² and estimated deposited volume, 22.2±9.4 L/ha. The respective ones reached with the computer program were: 402±58 mum, 161±32 mum,... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agricultural chemicals; Aerial application; Application methods; Density; Volume. |
Ano: 2002 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2002000400010 |
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VILELA, E. F.; FERREIRA, W. P. M.; CASTRO, G. D. M. de; FARIA, A. L. R. de; LEITE, D. H.; LIMA, I. A.; MATOS, C. de S. M. de; SILVA, R. A.; VENZON, M.. |
The coffee leaf miner (Leucoptera coffeella) is a key coffee pest in Brazil that can cause severe defoliation and a negative impact on the productivity. Thus, it is essential to identify initial pest infestation for the sake of appropriate time control to avoid further economic damage to the coffee crops. A fast non-destructive method is an important tool that can be used to monitor the occurrence of the coffee leaf miner. The present work aims to identify the occurrence of coffee leaf miner infestation through a new vegetation index, using multispectral images from the Sentinel-2 satellite and the Google Earth Engine platform. Coffee leaf miner infestation was measured in the field in four cities in the state of Minas Gerais. The largest infestations... |
Tipo: Artigo de periódico |
Palavras-chave: Leaf miner infestation; Leucoptera Coffeella; Infestação; Bicho Mineiro; Plant pests; Remote sensing; Application methods; Spectral analysis. |
Ano: 2023 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1151979 |
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Registros recuperados: 11 | |
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