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Title:

Hyperspectral Vegetation Indices to Assess Water and Nitrogen Status of Sweet Maize Crop

Document type:
Zeitschriftenaufsatz
Author(s):
Colovic, Milica; Yu, Kang; Todorovic, Mladen; Cantore, Vito; Hamze, Mohamad; Albrizio, Rossella; Stellacci, Anna Maria
Abstract:
The deployment of novel technologies in the field of precision farming has risen to the top of global agendas in response to the impact of climate change and the possible shortage of resources such as water and fertilizers. The present research addresses the performance of water and nitrogen-sensitive narrow-band vegetation indices to evaluate the response of sweet maize (Zea mays var. saccharata L.) to different irrigation and nitrogen regimes. The experiment was carried out in Valenzano, Bari...     »
Journal title:
Agronomy
Year:
2022
Journal volume:
12
Journal issue:
9
Pages contribution:
2181
Fulltext / DOI:
doi:10.3390/agronomy12092181
Publisher:
MDPI AG
E-ISSN:
2073-4395
Date of publication:
14.09.2022
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