Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …

Leaf area index (LAI) is a key parameter of vegetation structure in the fields of agriculture,
forestry, and ecology. Optical indirect methods based on the Beer-Lambert law are widely …

This paper presents an operational chain for high-resolution leaf area index (LAI) retrieval
from multiresolution satellite data specifically developed for Mediterranean rice areas. The …

Highlights•Affordable approaches are available for all aspects of the phenotyping
pipeline.•Affordable and precise high-throughput phenotyping is not incompatible.•RGB …

Irrigation is critical to sustain agricultural productivity in dry or semi-dry environments, and
center pivots, due to their versatility and ruggedness, are the most widely used irrigation …

Crowdsourcing, understood as outsourcing tasks or data collection by a large group of non-
professionals, is increasingly used in scientific research and operational applications. In this …

Matching of maize growth with solar radiation is of great importance for achieving high yield.
We conducted experiments using different maize cultivars and planting densities under …

Leaf area index (LAI) and plant area index (PAI) are common and important biophysical
parameters used to estimate agronomical variables such as canopy growth, light …

Green area index (GAI), leaf chlorophyll content (LCC) and canopy chlorophyll content
(CCC) are key variables that are closely related to crop growth. Concurrent and continuous …

Increasing the ability to investigate plant functions and structure through non-invasive
methods with high accuracy has become a major target in plant breeding and precision …