Fractional green canopy cover (FGCC) is a key diagnostic variable that can be used to
estimate canopy development, light interception, and evapotranspiration partitioning …

Effective and efficient segmentation of vegetation from digital plant images is an actively
studied topic in crop phenoty**. Many of the formerly proposed methods showed good …

Affordable and easy‐to‐use methods for assessing biomass and leaf area index (LAI) would
be of interest in most breeding programs. Here, we describe the evaluation of a protocol for …

Remote sensing has become an indispensable method for estimating the regional-scale
collection of grassland aboveground biomass (AGB). However, the lack of ground …

Ground coverage (GC) allows monitoring of crop growth and development and is normally
estimated as the ratio of vegetation to the total pixels from nadir images captured by visible …

Plant traits are informative for ecosystem functions and processes and help to derive general
rules and predictions about responses to environmental gradients, global change and …

Due to factors such as light angle and vegetation density, shadows can exist in ground
vegetation images; this can lead to highly varying natural illumination in the images, which …

Analyses of plants' geometrical shape is of great value for many precision agriculture
methodologies. Among them is the estimation of growth parameters which provide the basis …

Chickpea (Cicer arietinum L.) is a key legume crop grown in many semi-arid areas.
Traditionally, chickpea is a rainfed spring crop, but in certain countries it has become an …

Abstract Changes in morpho-physiological traits are important for biotic or abiotic stresses in
sugarcane (Saccharum spp. interspecific hybrids). Ground measurements of such traits are …