Assessment of the spatial variability of anthocyanins in grapes using a fluorescence sensor: relationships with vine vigour and yield

By J. Baluja, M. Diago, Pierre Goovaerts, J. Tardáguila. Precision Agriculture, 2012

66 citations recorded by the source corpus.

Subfields: Ecology, Food Science, Plant Science

View Paper: https://www.semanticscholar.org/paper/8c8f268d906cd402d0d37da30ed6a4042836cb0e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

1. É. Duchêne
2. J. Tello
3. J. Ibáñez

In Plant Science

1. Georg Noga
2. Stefano Poni
3. Zoran G. Cerovic
4. G. Cornic
5. É. Duchêne
6. D. Lawlor
7. M. M. Chaves
8. J. Tello

Citations in the corpus

• Fluorescence-based sensing of drought-induced stress in the vegetative phase of four contrasting wheat genotypes (2013, background): “, 2005) and grapes (Ben Ghozlen et al., 2010; Bramley et al., 2011; Baluja et al., 2012), also in the scope of precision agriculture.”
• Grapevine quality: A multiple choice issue (2017, methodology): “The same device has also been manually used for mapping grape quality properties (Baluja et al., 2012) in the field and determining the anthocyanin content in grapes upon their arrival at the winery (Le Moigne et al.”