A simple model of regional wheat yield based on NDVI data

By M. Moriondo, F. Maselli, M. Bindi. 2007

253 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics, Plant Science

View Paper: https://www.semanticscholar.org/paper/625f48a713a7bcd03b506026de51847a92064478

How researchers see this paper

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

In Ecology

1. Achim Walter
2. Andreas Hund
3. Frank Liebisch

In Ecology, Evolution, Behavior and Systematics

1. Achim Walter

In Plant Science

1. Achim Walter
2. Frank Liebisch
3. Andreas Hund

Citations in the corpus

• Estimating near future regional corn yields by integrating multi-source observations into a crop growth model (2013, methodology): “With the development of remote sensing technology, satellite sensors can continuously obtain terrain surface information on a regional scale, which provides an attractive alternative method of monitoring the crop status (Tennakoon et al., 1992; Moriondo et al., 2007; Claverie et al., 2012).”
• Plant phenotyping: from bean weighing to image analysis (2015, background): “Recent studies in wheat and maize correlate NDVI with important crop properties such as biomass [39,40], chlorophyll content [41,42] and nitrogen status [34,43].”