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Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Zeitschriftentitel:
Agronomy
Jahr:
2022
Band / Volume:
12
Heft / Issue:
9
Seitenangaben Beitrag:
2181
Volltext / DOI:
doi:10.3390/agronomy12092181
Verlag / Institution:
MDPI AG
E-ISSN:
2073-4395
Publikationsdatum:
14.09.2022
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