Garlic yield monitoring using vegetation indices and texture features derived from UAV multispectral imagery

Remote sensing and machine learning are widely used to estimate crop yield. The use of these technologies for yield estimation of bulbous vegetables is challenging because the yield is underground and can't be directly monitored by remote sensing images. Among the bulbous vegetables, garlic (Allium...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Andrea Marcone, Giorgio Impollonia, Michele Croci, Henri Blandinières, Niccolò Pellegrini, Stefano Amaducci
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2024-08-01
Sarja:	Smart Agricultural Technology
Aiheet:	Garlic UAV Multispectral Machine learning Yield estimation Texture feature
Linkit:	http://www.sciencedirect.com/science/article/pii/S2772375524001187
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