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Spectral indexes for identification of nitrogen deficiency in maize Rev. Ciênc. Agron.
Romualdo,Liliane Maria; Luz,Pedro Henrique de Cerqueira; Baesso,Murilo Mesquita; Devechio,Fernanda de Fatima da Silva; Bet,Jessica Angela.
ABSTRACT Image analysis can provide information extracted from the leaves of crops, and contribute to early identification of nutrient deficiency. The objective of this study was to recognize nutritional nitrogen (N) patterns in maize plants, at the V4 and V7 stages, using digital image analysis based on spectral indexes. The experiment was carried out in a greenhouse under hydroponic cultivation. Treatments consisted of a completely randomized design, in a 4 × 2 factorial arrangement, with four replications. The factors were constituted by the doses of N (0; 3.0; 6.0 e 15 mmol L-1) combined at V4 and V7. In each stage, digital images were taken of leaf blades, with subsequent chemical composition and image analysis. For image recognition and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Zea mays L.; Image analysis; Mineral nutrition; Image processing..
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000200183
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