Real-time hyperspectral decision support for precision herbicide management in Maize: Optimizing herbicide efficacy and plant response

Hyperspectral VNIR imaging (400–1000 nm) offers a swift, non-invasive method for identifying early herbicide-induced stress in maize and its accompanying weed flora. Unlike traditional visual scoring and biomass measurements, this technology captures subtle changes in pigment content, water status,...

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Hlavní autoři:	Sk Asraful Ali, Ramanjit Kaur, Sudhir Kumar, Allimuthu Elangovan, Rahul Kumar, Arjun Shreepad Hegde, Rashmi Sharma, Yogeshwar Singh, Shiv Vendra Singh
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2026-03-01
Edice:	Ecological Informatics
Témata:	Hyperspectral imaging Remote sensing Precision agriculture Herbicide stress Vegetation indices
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1574954126000488
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